Getting from A to B with FME
•
0 likes•1,681 views
A presentation focused on how Stadtwerke Münster, a public transit authority in Germany, used FME to efficiently transform timetables and bus route data into the General Transit Feed Specification (GTFS) used by Google Transit. See more presentations from the FME User Conference 2014 at: www.safe.com/fmeuc
Report
Share
Report
Share
Download to read offline
Recommended
From Flat Files to Usable Deliverables: FME Empowers Transit
BC Transit uses FME to transform and analyze transportation data from various sources into usable formats and deliverables. FME allows BC Transit to automate processes for naming bus stops, building bus route paths from GTFS and stop data, displaying automated passenger count data, and more. FME gives BC Transit control over its data processing and the ability to customize outputs based on available data and needs.
Improving Information Usability at BC Transit
Through examples and demonstration this presentation discusses how BC Transit applied spatial data transformation processes to three projects in order to improve data access, understandability and overall usage - all while ensuring high quality, accurate information results.
Up to-date geographic data management
technical solution that could increase geo-spatial data legal compliance, currency, accuracy, and efficiency of updates as well as address system scaling for performance
Exploring UK Bus And Train Data With TransportAPI
Harry Wood, Software Engineer, TransportAPI.com
TransportAPI provides UK public transport data with live and timetable information for bus, train, and tube, available to developers through an easy to use API. UK transport data is a complex and shifting landscape. In this workshop we'll talk through some of the challenges we're facing, and how we're working to solve them to take the pain away for developers (inviting more feedback and suggestions from the API community!). We'll look at the resulting API and a tour of the different data offered, some examples of how it might be used, and some bespoke work we're doing for clients.
- See more at: http://www.apiconuk.com/apiconukschedule#sthash.gdIvEBWy.dpuf
An analytical advantage - using data to reduce lap times
Motor racing now relies on data captured from sensors to help racers analyze their performance and lap times. GPS data in particular allows racers to compare individual laps and see where improvements can be made. However, viewing all laps overlaid makes comparison difficult. Using data processing software, an "ideal racing line" was created by selecting the best segments from over 80 laps. This ideal line was then overlaid on a map of the track in Google Earth. Racers can now aim to follow this ideal line to achieve the fastest possible lap times.
TfGM Open data update - Transport
This document provides an update on open data initiatives in Greater Manchester. It discusses plans to release Metrolink fare data, road traffic accident data, bus route mapping data, and real-time data feeds for car parks, Metroshuttle buses, and Metrolink trams. Challenges and timelines are outlined for making various transit and traffic datasets openly available in open data formats. Approval is still needed for some datasets, and development is ongoing to establish an architecture using Microsoft's Windows Azure cloud platform to host real-time transportation data.
Veridict Trafiklab meetup 2016 12-06
This document discusses open public transport data from a vehicle-centric perspective. It describes different types of public transport data including vehicle internal data, infrastructure data, and transportation data. Combining these data sources can improve data quality and support predictive analytics. Real-time vehicle tracking is discussed, including challenges with direct GPS sampling. An alternative method of aggregated tracking with raw GPS reference and space-time polygonal chains to model vehicle journeys is proposed. The document also introduces the concept of "toxels", which are space-time building blocks for efficiently modeling transport data at a high level of detail.
TGS EUR- Barents Sea new 3D datasets
TGS is committed to providing geoscience data to support oil and gas exploration in the Norwegian Barents Sea. They have built the largest data portfolio in the region over the past decade, helping define new exploration areas. TGS collects different types of seismic and electromagnetic data using optimal technologies to provide a complete subsurface picture. Their recent data acquisition program added new 3D seismic surveys in underexplored areas of the Barents Sea to support future license bidding.
Recommended
From Flat Files to Usable Deliverables: FME Empowers Transit
BC Transit uses FME to transform and analyze transportation data from various sources into usable formats and deliverables. FME allows BC Transit to automate processes for naming bus stops, building bus route paths from GTFS and stop data, displaying automated passenger count data, and more. FME gives BC Transit control over its data processing and the ability to customize outputs based on available data and needs.
Improving Information Usability at BC Transit
Through examples and demonstration this presentation discusses how BC Transit applied spatial data transformation processes to three projects in order to improve data access, understandability and overall usage - all while ensuring high quality, accurate information results.
Up to-date geographic data management
technical solution that could increase geo-spatial data legal compliance, currency, accuracy, and efficiency of updates as well as address system scaling for performance
Exploring UK Bus And Train Data With TransportAPI
Harry Wood, Software Engineer, TransportAPI.com
TransportAPI provides UK public transport data with live and timetable information for bus, train, and tube, available to developers through an easy to use API. UK transport data is a complex and shifting landscape. In this workshop we'll talk through some of the challenges we're facing, and how we're working to solve them to take the pain away for developers (inviting more feedback and suggestions from the API community!). We'll look at the resulting API and a tour of the different data offered, some examples of how it might be used, and some bespoke work we're doing for clients.
- See more at: http://www.apiconuk.com/apiconukschedule#sthash.gdIvEBWy.dpuf
An analytical advantage - using data to reduce lap times
Motor racing now relies on data captured from sensors to help racers analyze their performance and lap times. GPS data in particular allows racers to compare individual laps and see where improvements can be made. However, viewing all laps overlaid makes comparison difficult. Using data processing software, an "ideal racing line" was created by selecting the best segments from over 80 laps. This ideal line was then overlaid on a map of the track in Google Earth. Racers can now aim to follow this ideal line to achieve the fastest possible lap times.
TfGM Open data update - Transport
This document provides an update on open data initiatives in Greater Manchester. It discusses plans to release Metrolink fare data, road traffic accident data, bus route mapping data, and real-time data feeds for car parks, Metroshuttle buses, and Metrolink trams. Challenges and timelines are outlined for making various transit and traffic datasets openly available in open data formats. Approval is still needed for some datasets, and development is ongoing to establish an architecture using Microsoft's Windows Azure cloud platform to host real-time transportation data.
Veridict Trafiklab meetup 2016 12-06
This document discusses open public transport data from a vehicle-centric perspective. It describes different types of public transport data including vehicle internal data, infrastructure data, and transportation data. Combining these data sources can improve data quality and support predictive analytics. Real-time vehicle tracking is discussed, including challenges with direct GPS sampling. An alternative method of aggregated tracking with raw GPS reference and space-time polygonal chains to model vehicle journeys is proposed. The document also introduces the concept of "toxels", which are space-time building blocks for efficiently modeling transport data at a high level of detail.
TGS EUR- Barents Sea new 3D datasets
TGS is committed to providing geoscience data to support oil and gas exploration in the Norwegian Barents Sea. They have built the largest data portfolio in the region over the past decade, helping define new exploration areas. TGS collects different types of seismic and electromagnetic data using optimal technologies to provide a complete subsurface picture. Their recent data acquisition program added new 3D seismic surveys in underexplored areas of the Barents Sea to support future license bidding.
An open source multimodal journey planning system based on 'de facto' standards
Showing the components of a multimodal journey planner completely based in open source solutions and de facto standards.
G2 Berman
The document discusses the China Historical GIS (CHGIS) project, which aims to create a comprehensive GIS database of historical geodata for pre-modern China. The CHGIS integrates a digital gazetteer database with GIS layers, mapping administrative divisions, places, and other features from 222 BCE to 1911 CE. It draws on diverse historical sources to record placenames, locations, administrative hierarchies, and other metadata over time. The CHGIS allows users to analyze how settlements, populations, and other variables changed and were distributed across China at different points in history.
EWGAT
This document summarizes the Extensible Web-based Geovisual Analytics Toolkit (EWGAT), which allows users to perform Geographically Weighted Regression (GWR) analysis through a web interface. EWGAT uses a three-tier architecture with JavaScript libraries for the client interface, R for computation on the backend server, and JSON format for data exchange. It implements various geovisualization functions to enable users to calibrate, present, and synthesize large numbers of GWR results through interactive graphical interfaces. Future work may include additional case studies, interface improvements, and incorporating more spatial statistical analytics capabilities.
Tilemill gwu-wboykinm
TileMill sits at the intersection of GIS and cartography and is built to generate map tiles from geospatial data for use on the web. It uses Mapnik to render maps and supports common data formats like Shapefiles and GeoJSON as well as outputting tiles, images, and vector formats. CartoCSS is used to style features on the maps and resembles standard CSS.
COGS Capstone - Active Transportation
This document summarizes an active transportation project in Nova Scotia. It outlines the project team members, data sources used, key deliverables including maps of existing and proposed active transportation corridors. It also discusses challenges with active transportation in Nova Scotia and provides examples of maps produced for the towns of Wolfville and Windsor showing population density and active transportation infrastructure. Analysis was conducted in ArcGIS and maps were published on ArcGIS Online.
Progress in Building Freight Flows & Network MKM 2008
This document discusses air cargo flows and networks in Europe. It outlines an approach to analyze air cargo flows between airport pairs and nodes using statistics from Eurostat on freight volumes and scheduled flight data. Impedances between airports are also calculated based on flight times, number of stopovers, and frequencies. Charts and data on air cargo volumes between Europe and other regions like North America and Latin America by country pairs and airport pairs are also presented.
abstract
1) The document discusses developing an automated method for generating escape paths for large aircraft taking off from challenging airports surrounded by terrain, in order to satisfy regulatory requirements while optimizing payload and engine performance.
2) It aims to build on robotic path planning techniques to address the complex problem in a unified mathematical framework, formalizing an approach to generate high-quality escape paths considering aircraft kinematics, terrain models, and constraints.
3) Evaluation of the model on sample real-world airports found it yielded superior payload capability, safer paths based on unique metrics, and high repeatability, while engine failure simulations challenged common regulatory beliefs and paved the way to regulatory changes and safer operations.
WebXpress GPS / Geo-fencing Capability
Some of the industry leading features available on WebXpress:
1. GPS
2. Geo Fencing
3. VTS
4. Android Integration
WebXpress is an IT and Solutions company that offers services in the domain of Logistics.
Founded in 2004 the company has a presence in India, Saudi Arabia, East Africa, and South Asia.
Our idea is to connect all stakeholders in supply chain and provide visibility.
Mapc Data Day 7 15 09
MassGIS provides web mapping services through their GeoServer that allow users to access maps and geospatial data via OGC standards. They have offered these services since 2002 through various software and now use GeoServer. The services include WMS to return maps and WFS to return feature data in various formats. MassGIS' GeoServer serves over 700 layers to various government agencies and organizations and sees over 13,000 requests daily. Future plans include upgrading GeoServer and improving performance.
Dynamic Fleet Sizing Problem for an E-Scooter Valet Service
This document proposes a dynamic fleet sizing algorithm for an e-scooter valet service. It outlines using Citi Bike trip data to analyze demand trends and prepare the data spatially. It then describes using Clarke-Wright's method to determine the optimal fleet size based on hourly demand. Route generation is done using Google OR-Tools' CVRP algorithm. Results show the dynamic fleet model accurately predicts vehicle needs and has comparable mileage to static fleets. A cost-benefit analysis finds the proposed model has lower costs than Citi Bike. Additional areas for exploration are also identified.
Paratransit: Not 2nd Class Information
Presenting demand-responsive transit on an equal level as fixed-route transit
TRB International Conference on Demand Responsive Transit in Monterey, California / 31-October-2014
Pipeline Routing Model A
The document describes a pipeline routing model created using ESRI ArcGIS Model Builder. The model uses spatial datasets like infrastructure, geology, and elevation data to create a cost surface for pipeline routing. Factors like proximity to roads and elevation are incorporated into the cost surface. The model then identifies the least cost path for a potential pipeline route between a gas field and refinery in Kazakhstan. Visualizations of the cost surface and proposed pipeline route are presented to demonstrate the collaborative, auditable methodology.
Report 4 jimenez
This document summarizes a traffic survey conducted at a road intersection in Budapest, Hungary on November 15, 2017 from 11:15-12:00. The survey counted vehicles in different categories passing through every 15 minutes and calculated passenger car equivalents (PCE). A total of 232 vehicles passed through in the 45-minute period, equating to a PCE volume of 309 vehicles per hour. Based on the intersection's capacity of 600 PCE per hour and measured PCE volume of 309, the saturation ratio was calculated to be 0.51, indicating the intersection's capacity was not fulfilled.
Thompson & Alexander Dock Survey
The document summarizes a laser scan survey of historic Thompson and Alexandra Docks in Belfast to inform redevelopment plans. A Leica C10 laser scanner was used over 2.5 days to create a 3D point cloud model of the docks and surrounding land. This data was imported into CAD software to generate accurate 2D topographic drawings, plans, and elevations of the docks and Thompson Dock pumphouse building to support engineering requirements for proposed cruise berth, parking, and welcome building facilities. The laser scan provided detailed survey data faster than traditional methods to aid development design.
Investigating Time-of-Use as a Factor in Dynamic Wireless Charging Infrastruc...
1) The document investigates modeling optimal locations for dynamic wireless charging infrastructure for electric buses by accounting for time-of-use factors like varying energy costs and vehicle speeds throughout the day.
2) Previous models for single and multi-route infrastructure planning are reviewed and a new time-of-use model is proposed to determine if the optimal solution changes with daily energy and traffic patterns.
3) The model is validated using real-world New York City bus network and energy cost data, finding the solutions are nearly identical with and without accounting for time-of-use, likely due to limitations in the model and data simplifications.
Linear scheduling LSM
The Linear Scheduling Method (LSM) is used to plan repetitive construction activities that progress linearly over time and distance. LSM schedules show the location and timing of crews working on different operations. They provide a simple visual that clearly shows the sequence and progression of work. LSM schedules have details and can be developed quickly. They are well-suited for projects like highways, tunnels, pipelines, and high-rise buildings.
World pipeline tilos_article
This article discusses linear scheduling for pipeline projects using a software called TILOS. TILOS uses march charts or time-distance diagrams to integrate the project schedule with site conditions and logistical constraints. It plots tasks on a two-axis grid with time on the vertical axis and location on the horizontal. This allows the planner to visualize crew movement and address constructability issues. TILOS facilitates importing data from other sources to generate detailed views incorporating things like elevation profiles, crossings and environmental restrictions. It also supports monitoring and controlling project progress by recording task completion locations and dates.
Using FME and GTFS datasets to run TransitDatabase.com
Public Transit data is largely available in an open-source data format, GTFS. Using FME, this presentation will describe how to efficiently synthesize the extremely large datasets, from cities all over the world into meaningful information used to run TransitDatabase.com.
Automating Transportation Feeds into ArcMap Products
Automating Transportation Feeds into ArcMap Products by focusing on capturing data, data automation and display. Two processes will be demonstrated; The first being the Capital Bike Share station XML page transformed in FME and scheduled in FME server to automate a map service. The second demonstration is the Metro (WMATA) "next train" api feed transformed in FME and scheduled in the FME server to create an automated map service.
Bus vanet
HEAD OFFICE (CHENNAI):
JP INFOTECH,
Old No. 31, New No: 86, 1st Floor, 1st Avenue,
Ashok Nagar (Ashok Pillar),
Chennai – 83.
Landmark: Next to Kotak Mahendra Bank / Bharath Scans
MOBILE: (0)9952649690
LANDLINE: (044) 43012642
E-MAIL: jpinfotechprojects@gmail.com
PUDUCHERRY / PONDICHERRY OFFICE:
JP INFOTECH,
#45, Kamaraj Salai, Thattanchavady,
Pondy-Tindivanam High Road,
Puducherry/Pondicherry – 605009.
Landmark: Opp. To Thattanchavady Industrial Estate and Next to VVP Nagar Arch.
MOBILE: (0)9952649690 / (0) 8608600246
LANDLINE: (0413)4300535
E-MAIL: jpinfotechprojects@gmail.com
Food Truck Notification Service (Lightning Talk)
This document describes a solution built using FME Server to notify hungry employees when a food truck has arrived at their office. The food truck company shares its location data over a websocket connection to FME Server. An FME workspace compares the truck's location to defined stop zones and triggers the notification service to alert employees via email or Twitter when the truck is nearby. The system is currently in beta testing and the presenter envisions expanding it to include more food trucks, routes, and customers.
TRAFI
The document discusses TRAFI, a passenger information system and agency information system. It provides public transport information through a mobile app, and also offers tools and services for transport agencies. These include real-time dashboards, GPS tracking, open data provision, and a way for agencies to deliver targeted messages to passengers. The system's architecture combines data from multiple sources, advanced analytics, and cloud-based scalability.
More Related Content
What's hot
An open source multimodal journey planning system based on 'de facto' standards
Showing the components of a multimodal journey planner completely based in open source solutions and de facto standards.
G2 Berman
The document discusses the China Historical GIS (CHGIS) project, which aims to create a comprehensive GIS database of historical geodata for pre-modern China. The CHGIS integrates a digital gazetteer database with GIS layers, mapping administrative divisions, places, and other features from 222 BCE to 1911 CE. It draws on diverse historical sources to record placenames, locations, administrative hierarchies, and other metadata over time. The CHGIS allows users to analyze how settlements, populations, and other variables changed and were distributed across China at different points in history.
EWGAT
This document summarizes the Extensible Web-based Geovisual Analytics Toolkit (EWGAT), which allows users to perform Geographically Weighted Regression (GWR) analysis through a web interface. EWGAT uses a three-tier architecture with JavaScript libraries for the client interface, R for computation on the backend server, and JSON format for data exchange. It implements various geovisualization functions to enable users to calibrate, present, and synthesize large numbers of GWR results through interactive graphical interfaces. Future work may include additional case studies, interface improvements, and incorporating more spatial statistical analytics capabilities.
Tilemill gwu-wboykinm
TileMill sits at the intersection of GIS and cartography and is built to generate map tiles from geospatial data for use on the web. It uses Mapnik to render maps and supports common data formats like Shapefiles and GeoJSON as well as outputting tiles, images, and vector formats. CartoCSS is used to style features on the maps and resembles standard CSS.
COGS Capstone - Active Transportation
This document summarizes an active transportation project in Nova Scotia. It outlines the project team members, data sources used, key deliverables including maps of existing and proposed active transportation corridors. It also discusses challenges with active transportation in Nova Scotia and provides examples of maps produced for the towns of Wolfville and Windsor showing population density and active transportation infrastructure. Analysis was conducted in ArcGIS and maps were published on ArcGIS Online.
Progress in Building Freight Flows & Network MKM 2008
This document discusses air cargo flows and networks in Europe. It outlines an approach to analyze air cargo flows between airport pairs and nodes using statistics from Eurostat on freight volumes and scheduled flight data. Impedances between airports are also calculated based on flight times, number of stopovers, and frequencies. Charts and data on air cargo volumes between Europe and other regions like North America and Latin America by country pairs and airport pairs are also presented.
abstract
1) The document discusses developing an automated method for generating escape paths for large aircraft taking off from challenging airports surrounded by terrain, in order to satisfy regulatory requirements while optimizing payload and engine performance.
2) It aims to build on robotic path planning techniques to address the complex problem in a unified mathematical framework, formalizing an approach to generate high-quality escape paths considering aircraft kinematics, terrain models, and constraints.
3) Evaluation of the model on sample real-world airports found it yielded superior payload capability, safer paths based on unique metrics, and high repeatability, while engine failure simulations challenged common regulatory beliefs and paved the way to regulatory changes and safer operations.
WebXpress GPS / Geo-fencing Capability
Some of the industry leading features available on WebXpress:
1. GPS
2. Geo Fencing
3. VTS
4. Android Integration
WebXpress is an IT and Solutions company that offers services in the domain of Logistics.
Founded in 2004 the company has a presence in India, Saudi Arabia, East Africa, and South Asia.
Our idea is to connect all stakeholders in supply chain and provide visibility.
Mapc Data Day 7 15 09
MassGIS provides web mapping services through their GeoServer that allow users to access maps and geospatial data via OGC standards. They have offered these services since 2002 through various software and now use GeoServer. The services include WMS to return maps and WFS to return feature data in various formats. MassGIS' GeoServer serves over 700 layers to various government agencies and organizations and sees over 13,000 requests daily. Future plans include upgrading GeoServer and improving performance.
Dynamic Fleet Sizing Problem for an E-Scooter Valet Service
This document proposes a dynamic fleet sizing algorithm for an e-scooter valet service. It outlines using Citi Bike trip data to analyze demand trends and prepare the data spatially. It then describes using Clarke-Wright's method to determine the optimal fleet size based on hourly demand. Route generation is done using Google OR-Tools' CVRP algorithm. Results show the dynamic fleet model accurately predicts vehicle needs and has comparable mileage to static fleets. A cost-benefit analysis finds the proposed model has lower costs than Citi Bike. Additional areas for exploration are also identified.
Paratransit: Not 2nd Class Information
Presenting demand-responsive transit on an equal level as fixed-route transit
TRB International Conference on Demand Responsive Transit in Monterey, California / 31-October-2014
Pipeline Routing Model A
The document describes a pipeline routing model created using ESRI ArcGIS Model Builder. The model uses spatial datasets like infrastructure, geology, and elevation data to create a cost surface for pipeline routing. Factors like proximity to roads and elevation are incorporated into the cost surface. The model then identifies the least cost path for a potential pipeline route between a gas field and refinery in Kazakhstan. Visualizations of the cost surface and proposed pipeline route are presented to demonstrate the collaborative, auditable methodology.
Report 4 jimenez
This document summarizes a traffic survey conducted at a road intersection in Budapest, Hungary on November 15, 2017 from 11:15-12:00. The survey counted vehicles in different categories passing through every 15 minutes and calculated passenger car equivalents (PCE). A total of 232 vehicles passed through in the 45-minute period, equating to a PCE volume of 309 vehicles per hour. Based on the intersection's capacity of 600 PCE per hour and measured PCE volume of 309, the saturation ratio was calculated to be 0.51, indicating the intersection's capacity was not fulfilled.
Thompson & Alexander Dock Survey
The document summarizes a laser scan survey of historic Thompson and Alexandra Docks in Belfast to inform redevelopment plans. A Leica C10 laser scanner was used over 2.5 days to create a 3D point cloud model of the docks and surrounding land. This data was imported into CAD software to generate accurate 2D topographic drawings, plans, and elevations of the docks and Thompson Dock pumphouse building to support engineering requirements for proposed cruise berth, parking, and welcome building facilities. The laser scan provided detailed survey data faster than traditional methods to aid development design.
Investigating Time-of-Use as a Factor in Dynamic Wireless Charging Infrastruc...
1) The document investigates modeling optimal locations for dynamic wireless charging infrastructure for electric buses by accounting for time-of-use factors like varying energy costs and vehicle speeds throughout the day.
2) Previous models for single and multi-route infrastructure planning are reviewed and a new time-of-use model is proposed to determine if the optimal solution changes with daily energy and traffic patterns.
3) The model is validated using real-world New York City bus network and energy cost data, finding the solutions are nearly identical with and without accounting for time-of-use, likely due to limitations in the model and data simplifications.
Linear scheduling LSM
The Linear Scheduling Method (LSM) is used to plan repetitive construction activities that progress linearly over time and distance. LSM schedules show the location and timing of crews working on different operations. They provide a simple visual that clearly shows the sequence and progression of work. LSM schedules have details and can be developed quickly. They are well-suited for projects like highways, tunnels, pipelines, and high-rise buildings.
World pipeline tilos_article
This article discusses linear scheduling for pipeline projects using a software called TILOS. TILOS uses march charts or time-distance diagrams to integrate the project schedule with site conditions and logistical constraints. It plots tasks on a two-axis grid with time on the vertical axis and location on the horizontal. This allows the planner to visualize crew movement and address constructability issues. TILOS facilitates importing data from other sources to generate detailed views incorporating things like elevation profiles, crossings and environmental restrictions. It also supports monitoring and controlling project progress by recording task completion locations and dates.
Using FME and GTFS datasets to run TransitDatabase.com
Public Transit data is largely available in an open-source data format, GTFS. Using FME, this presentation will describe how to efficiently synthesize the extremely large datasets, from cities all over the world into meaningful information used to run TransitDatabase.com.
Automating Transportation Feeds into ArcMap Products
Automating Transportation Feeds into ArcMap Products by focusing on capturing data, data automation and display. Two processes will be demonstrated; The first being the Capital Bike Share station XML page transformed in FME and scheduled in FME server to automate a map service. The second demonstration is the Metro (WMATA) "next train" api feed transformed in FME and scheduled in the FME server to create an automated map service.
Bus vanet
HEAD OFFICE (CHENNAI):
JP INFOTECH,
Old No. 31, New No: 86, 1st Floor, 1st Avenue,
Ashok Nagar (Ashok Pillar),
Chennai – 83.
Landmark: Next to Kotak Mahendra Bank / Bharath Scans
MOBILE: (0)9952649690
LANDLINE: (044) 43012642
E-MAIL: jpinfotechprojects@gmail.com
PUDUCHERRY / PONDICHERRY OFFICE:
JP INFOTECH,
#45, Kamaraj Salai, Thattanchavady,
Pondy-Tindivanam High Road,
Puducherry/Pondicherry – 605009.
Landmark: Opp. To Thattanchavady Industrial Estate and Next to VVP Nagar Arch.
MOBILE: (0)9952649690 / (0) 8608600246
LANDLINE: (0413)4300535
E-MAIL: jpinfotechprojects@gmail.com
What's hot (20)
An open source multimodal journey planning system based on 'de facto' standards
An open source multimodal journey planning system based on 'de facto' standards
Progress in Building Freight Flows & Network MKM 2008
Progress in Building Freight Flows & Network MKM 2008
Dynamic Fleet Sizing Problem for an E-Scooter Valet Service
Dynamic Fleet Sizing Problem for an E-Scooter Valet Service
Investigating Time-of-Use as a Factor in Dynamic Wireless Charging Infrastruc...
Investigating Time-of-Use as a Factor in Dynamic Wireless Charging Infrastruc...
Using FME and GTFS datasets to run TransitDatabase.com
Using FME and GTFS datasets to run TransitDatabase.com
Automating Transportation Feeds into ArcMap Products
Automating Transportation Feeds into ArcMap Products
Similar to Getting from A to B with FME
Food Truck Notification Service (Lightning Talk)
This document describes a solution built using FME Server to notify hungry employees when a food truck has arrived at their office. The food truck company shares its location data over a websocket connection to FME Server. An FME workspace compares the truck's location to defined stop zones and triggers the notification service to alert employees via email or Twitter when the truck is nearby. The system is currently in beta testing and the presenter envisions expanding it to include more food trucks, routes, and customers.
TRAFI
The document discusses TRAFI, a passenger information system and agency information system. It provides public transport information through a mobile app, and also offers tools and services for transport agencies. These include real-time dashboards, GPS tracking, open data provision, and a way for agencies to deliver targeted messages to passengers. The system's architecture combines data from multiple sources, advanced analytics, and cloud-based scalability.
Infrastructure Manager_EN_2015_zweiseitig
The document summarizes how Stuttgarter Straßenbahnen AG (SSB) implemented a depot management system (DMS) using PSItraffic software to increase transparency and efficiency of operations. Key points:
- SSB implemented PSItraffic DMS in 2008 to centrally manage depots and enable operational planning. It integrated schedule, roster and vehicle data.
- The system provides a comprehensive overview of vehicle locations and statuses across all depots in real-time. This allows for more efficient vehicle dispatching and reduced reserves.
- RFID tags track vehicle movements with 99% accuracy, updating locations automatically in the DMS. Interfaces with other systems ensure up-to-date schedule and vehicle data
JGrass: The Horton Machine
Presentation at EGU 2008/04/14 in Vienna. Overview on Horton package and openmi, as well as JGrass itself.
TransportCamp AU Presentation: Designing a multimodal, high-frequency network...
My presentation at the inaugural TransportCampAU in Melbourne, Nov 1 (http://www.transportcamp.org.au/events/transportcamp-melbourne-2014) about work with Beyond Zero Emissions (http://bze.org.au/) to design a high-frequency bus network, assisted by open source tools such as OpenTripPlanner.
Ichiro Satoh
The document discusses using program analysis techniques to optimize truck routes for cooperative logistics in order to reduce carbon emissions. It proposes treating truck routes as programs that can be specified using a language based on process calculus. This allows applying program analysis, verification, and optimization methods to select efficient routes and trucks. It describes using this approach in cooperation with companies to optimize routes for food transportation, bank cash transport, and other logistics operations.
VEBIMOBE
Using sensors in OEM-cars for detecting and updating infrastructure and geographical information for speed maps, sustainability and self-driving cars (HD Maps).
SoTM US Routing
1) MapQuest has ingested OSM data into their routing engine and is deploying sites in Europe using OSM routing data. They plan to offer similar services for routing in the US using OSM data after improvements are made.
2) MapQuest is working on improving OSM data quality within the US by identifying issues, developing tools for fixing problems, and partnering with OSM contributors.
3) Their goals include making pedestrian routing enhancements, associating real-time traffic data with OSM, and continuing to optimize their routing engine for high performance when using OSM data.
N010428796
This document summarizes an adaptive traffic control system based on an embedded Linux board and image processing. The system uses a Raspberry Pi single board computer and OpenCV to process video frames from a digital camera mounted at an intersection. Vehicle counts on each road are determined using background subtraction and a Kalman filter algorithm. Based on the vehicle densities, different signal times are assigned to each road to improve traffic flow. The system also prioritizes emergency vehicles using GSM and GPS modules. Traffic data is stored on a web server to synchronize signals across intersections. The system aims to provide smoother traffic flow compared to fixed-time traffic signals.
Routing
Routing, scheduling, and dispatching are critical in keeping operations running smoothly and at lowest cost. Providing optimal drive routes between a set of locations is a key factor in reducing operating costs for numerous industries (fleet vehicles, transportation, currier services, home delivery). In this session, we’ll discuss routing technology, demonstrate routing applications, and discuss how advances in mobile technology have enabled a cost effective routing and real-time asset tracking solution.
smartport logistik hamburg.pdf
The document summarizes Hamburg's experience with a telematics solution called Smart Port Logistics (SPL) that enhances management of trucks and containers at the port. SPL integrates data from various stakeholders like terminal operators, truck drivers, and parking lot operators on a central cloud platform. It provides real-time tracking and messaging to optimize container transportation. For example, SPL calculates ETAs, identifies available parking, and alerts drivers with geofencing to minimize wait times. This increased efficiency by saving 5-10 minutes per trip. The solution demonstrates how information sharing across stakeholders can streamline port logistics operations handling 40,000 trucks and 250,000 containers daily.
WebXpress solutions TMS express cargo
WebXpress's Business Model wise contracts- LTL, FTL, 3PL, IDT, Secondary Movement;
Pay basis wise plus Service Wise;
Multiple Active Contracts;
Single slab, Multi slab, FTL-Capacity based Rates- Per Kg., Per Ton, Fixed, Fixed + Variable
DorogaTV cloud fleet management
The document discusses DorogaTV, a company that started in 2008 providing traffic and public transportation monitoring services and has since expanded into developing cloud-based software for intelligent transportation system management, including their new Cloudbus product for public fleet management, statistics collection, and providing real-time arrival information to users. It also outlines their vision and plans for future products around commercial transportation optimization and mobile applications.
Smart bus system pilot project (BUSKET)
BUSKET is a wireless system aimed at supporting the quality of bus transportation service in Brunei Darussalam. BUSKET exploits low-cost wireless technologies for the real-time estimation of the buses position throughout the road network and to communicate to the users when one bus approaches the bus stop. The goal of BUSKET is to make smarter the bus transportation system and to improve the user awareness about the status of the bus service. From the user perspective, BUSKET will reduce the waiting time of citizens at the bus stops, while from the bus management viewpoint will enable a more centralized and pervasive control of the whole transportation network. BUSKET will use commercial smartphones (already diffused among citizens) as well as low-cost wireless GPS sensors to enable the acquisition of position information and to communicate with the users.
BUSKET is the joint-research between UTB, ELEDIA, and AITI
Blu Fax Recent Advances 2 24 2011
This document provides an overview of Traffax Inc.'s Bluetooth-based traffic monitoring equipment and software called BluFax. It describes how BluFax uses Bluetooth detectors to capture unique device IDs from passing vehicles to calculate travel times and origin-destination patterns. The document outlines BluFax's applications for traffic studies, work zone monitoring, and real-time traffic monitoring. It also summarizes the components, software, sample sizes needed, and provides examples of BluFax installations.
FME User Stories from Around the World
The document describes several case studies of using FME for spatial data processing and management tasks:
1) The Iowa Department of Transportation uses FME to ingest and publish snow plow data from vehicle trackers and dashcams for public viewing to improve winter driving safety.
2) A Spanish region uses FME to convert and publish spatial data on GitHub for open collaboration.
3) A water authority in Belgium created a comprehensive waterways data quality assurance process using FME and a Django interface to validate and manage results.
Why don't we have REAL IP to the Edge in Buildings?
Handout from a Q&A Webinar with Tony Marshallsay, CME at Omrania. We take a deep dive into how we can Improve Networking in Building Management Systems by taking IPv6 to the Edge.
FME Around the World
The document summarizes using FME for several mapping and geospatial data projects. It describes using FME to generate web map tiles from meteorological forecast models for Pelmorex in near real-time. It also discusses using FME Cloud to dynamically provision compute capacity for tile generation every 12 hours to process large amounts of data. Finally, it mentions that the approach costs $80 per run compared to $300,000 if done on-premises.
DSD-INT 2022 The visual way of working - Joling
Presentation by Almar Joling (Royal HaskoningDHV, Netherlands), at the Delft3D User Days, during Delft Software Days - Edition 2022. Tuesday, 15 November 2022.
Measuring Bus and Bus-Passenger Travel by Road Segment
A transportation system is not just the sum of its parts but also how and where those parts interact with one another. Measuring the effectiveness of that interaction contributes to everything from understanding the overall system to analyzing key components at the most disaggregate level of the system possible – in this case, the segments of roadway between stops. This presentation will show how analysts at TransLink developed a new foundational dataset by combining three existing datasets: Compass travel, the road network, and our bus location data. This new dataset describes bus and passenger travel at the street-segment level. We will walk the audience through three phases: how the need for the model was identified and what data considerations were important to success; the FME workflow process and some important lessons learned, and how the end results are being used to visualize and analyze our system in all-new ways. The emphasis will be on the FME process where data was pulled from multiple sources/types, assets/services were snapped and aligned, and the spatial relationship between assets and services were analyzed to produce the final output deliverables. Sections and Segment relationships are maintained, and attributes are easily aligned with other datasets such as route patterns, speed limit, vehicle type, frequency, on-time performance, etc.
Similar to Getting from A to B with FME (20)
TransportCamp AU Presentation: Designing a multimodal, high-frequency network...
TransportCamp AU Presentation: Designing a multimodal, high-frequency network...
Why don't we have REAL IP to the Edge in Buildings?
Why don't we have REAL IP to the Edge in Buildings?
Measuring Bus and Bus-Passenger Travel by Road Segment
Measuring Bus and Bus-Passenger Travel by Road Segment
More from Safe Software
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Essentials of Automations: Optimizing FME Workflows with Parameters
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
The Zero-ETL Approach: Enhancing Data Agility and Insight
In the ever-evolving landscape of data management, Zero-ETL is an approach that is reshaping how businesses handle and integrate their data. This webinar explores Zero-ETL, a paradigm shift from the traditional Extract, Transform, Load (ETL) process, offering a more streamlined, efficient, and real-time data integration method.
We will begin with an introduction to the concept of Zero-ETL, including how it allows direct access to data in its native environment and real-time data transformation, providing up-to-date information with significantly reduced data redundancy.
Next, we'll take you through several demonstrations showing how Zero-ETL can deliver real-time data and enable the free movement of data between systems. We will also discuss the various tools that support all aspects of Zero-ETL, providing attendees with an understanding of how they can adopt this innovative approach in their organizations.
Lastly, the session will conclude with an interactive Q&A segment, allowing participants to gain deeper insights into how Zero-ETL can be tailored to their specific business needs and how they can get started today.
Join us to discover how Zero-ETL can elevate your organization's data strategy.
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar.
In this sequel, we’ll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR.
Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios.
Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects.
Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar.
In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR.
Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios.
Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects.
Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality.
Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore:
FME’s role in real-time event processing, from data intake and analysis to transformation and reporting
An overview of leveraging streams vs. automations
FME’s impact across various industries highlighted by real-life case studies
Live demonstrations on setting up FME workflows for real-time data
Practical advice on getting started, best practices, and tips for effective implementation
Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization's performance. The power of real-time data automation through FME can turn this vision into reality.
Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We'll explore:
FME's role in real-time event processing, from data intake and analysis to transformation and reporting
An overview of leveraging streams vs. automations
FME's impact across various industries highlighted by real-life case studies
Live demonstrations on setting up FME workflows for real-time data
Practical advice on getting started, best practices, and tips for effective implementation
Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Hiring and retaining software development talent is next to impossible for AEC firms and other industries alike.
Join us and guest speakers from HOK, a leader in the AEC industry, as they share their success in navigating the tight talent market through the use of no-code solutions and FME.
Discover how HOK approached the process of building a custom tool to automate the creation of projects and user management for Trimble Connect and ProjectSight.
Using a mix of traditional and no-code in FME, our guest speakers will reveal how the team bridged the resource gap and used the available talent pool, producing the mission-critical web app “Trajectory”.
They will also dive into details, illustrating first-hand how JSON data was used as a “glue” between two development groups.
Learn how embracing FME as a no-code solution can unlock potential within your teams, foster collaboration, and drive efficiency.
Powering Real-Time Decisions with Continuous Data Streams
In an era where making swift, data-driven decisions can set industry leaders apart, understanding the world of data streaming and stream processing is crucial. During this webinar, we'll explore:
Stream Processing Overview: Dive into what stream processing entails and the value it brings organizations.
Stream vs. Batch Processing: Learn the key differences and benefits of stream processing compared to traditional batch processing, highlighting the efficiency of real-time data handling.
Mastering Data Volumes: Discover strategies for effectively managing both high and low volume data streams, ensuring optimal performance.
Boosting Operational Excellence: Explore how adopting data streaming can enhance your organization's operational workflows and productivity.
Spatial Data's Role in Streams: Understand the importance of spatial data in stream processing for more informed decision-making.
Interactive Demos: Watch practical demos, from dynamic geofencing to group-based processing.
Plus, we’ll show you how you can do it without coding! Register now to take the first step towards more informed, timely, and precise decision-making for your organization.
The Critical Role of Spatial Data in Today's Data Ecosystem
In today's data-driven landscape, integrating spatial data is becoming increasingly crucial for organizations aiming to harness the full potential of their data. Spatial data offers unique insights based on location, making it a fundamental component for addressing various challenges across different sectors, including urban planning, environmental sustainability, public health, and logistics.
Our webinar delves into the indispensable role of spatial data in data management and analysis. We'll showcase how omitting spatial data from your data strategy not only weakens your data infrastructure, but also limits the depth of your insights. Through real-world case studies, we'll highlight the transformative impact of spatial data, demonstrating its ability to uncover complex patterns, trends, and relationships.
Join us for this introductory-level webinar as we explore the critical importance of spatial data integration in driving strategic decision-making processes. By the end of the webinar, you'll gain a renewed perspective on how spatial data is essential for confronting and overcoming challenges across various domains.
Cloud Revolution: Exploring the New Wave of Serverless Spatial Data
Once in a while, there really is something new under the sun. The rise of cloud-hosted data has fueled innovation in spatial data storage, enabling a brand new serverless architectural approach to spatial data sharing. Join us in our upcoming webinar to learn all about these new ways to organize your data, and leverage data shared by others. Explore the potential of Cloud Native Geospatial Formats in your workflows with FME, as we introduce five new formats: COGs, COPC, FlatGeoBuf, GeoParquet, STAC and ZARR.
Learn from industry experts Michelle Roby from Radiant Earth and Chris Holmes from Planet about these cloud-native geospatial data formats and how they can make data easier to manage, share, and analyze. To get us started, they’ll explain the goals of the Cloud-Native Geospatial Foundation and provide overviews of cloud-native technologies including the Cloud-Optimized GeoTIFF (COG), SpatioTemporal Asset Catalogs (STAC), and GeoParquet.
Following this, our seasoned FME team will guide you through practical demonstrations, showcasing how to leverage each format to its fullest potential. Learn strategic approaches for seamless integration and transition, along with valuable tips to enhance performance using these formats in FME.
Discover how these formats are reshaping geospatial data handling and how you can seamlessly integrate them into your FME workflows and harness the explosion of cloud-hosted data.
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Learn where FME meets AI in this upcoming webinar to offer you incredible time savings. This webinar is tailored to ignite imaginations and offer solutions to your data integration challenges. As the new digital era sets sail on the winds of AI, the tangibility of its integration in our daily schema is unfolding.
Segment 1, titled “AI: The Good, the Bad and the FME” by Darren Fergus of Locus, navigates through the realms of AI, scrutinizing its pervasive impact while underscoring the symbiotic potential of FME and AI. Join in an engaging demonstration as FME and ChatGPT collaboratively orchestrate a PowerPoint narrative, epitomizing the alliance of AI with human ingenuity.
In Segment 2, “Integrating GeoAI Models in FME” by Dennis Wilhelm and Dr. Christopher Britsch of con terra GmbH, the spotlight veers towards operationalizing AI in our daily tasks through FME. A practical approach to embedding GeoAI Models into FME Workspaces is unveiled, showcasing the ease of incorporating AI-driven methodologies into your FME workflows, skyrocketing productivity levels.
To follow, Segment 3, "Unleash generative AI on your terms!" by Oliver Morris of Avineon-Tensing. While the prospects of Generative AI are thrilling, security and IT reservations, especially with 'phone home' tools, are genuine concerns. However, with open-source tools, you can locally harness large language models. In this demo, we'll unravel the magic of local AI deployment and its seamless integration into an FME workspace.
Bonus! Dmitri will join us for a fourth segment to tie us off, showcasing what he has been up to this week, including using OpenAI API for texturing in FME, amoung other projects.
Join us to explore the synergy of FME and AI: opening portals to a realm of revolutionized productivity and enriched user experiences.
The Zero-ETL Approach: Enhancing Data Agility and Insight
In the ever-evolving landscape of data management, Zero-ETL is an approach that is reshaping how businesses handle and integrate their data. This webinar explores Zero-ETL, a paradigm shift from the traditional Extract, Transform, Load (ETL) process, offering a more streamlined, efficient, and real-time data integration method.
We will begin with an introduction to the concept of Zero-ETL, including how it allows direct access to data in its native environment and real-time data transformation, providing up-to-date information with significantly reduced data redundancy.
Next, we'll take you through several demonstrations showing how Zero-ETL can deliver real-time data and enable the free movement of data between systems. We will also discuss the various tools that support all aspects of Zero-ETL, providing attendees with an understanding of how they can adopt this innovative approach in their organizations.
Lastly, the session will conclude with an interactive Q&A segment, allowing participants to gain deeper insights into how Zero-ETL can be tailored to their specific business needs and how they can get started today.
Join us to discover how Zero-ETL can elevate your organization's data strategy.
Mastering MicroStation DGN: How to Integrate CAD and GIS
Dive deep into the world of CAD-GIS integration with our expert-led webinar. Discover how to seamlessly transfer data between Bentley MicroStation and leading GIS platforms, such as Esri ArcGIS. This session goes beyond mere CAD/GIS conversion, showcasing techniques to precisely transform MicroStation elements including cells, text, lines, and symbology. We’ll walk you through tags versus item types, and understanding how to leverage both. You’ll also learn how to reproject to any coordinate system. Finally, explore cutting-edge automated methods for managing database links, and delve into innovative strategies for enabling self-serve data collection and validation services.
Join us to overcome the common hurdles in CAD and GIS integration and enhance the efficiency of your workflows. This session is perfect for professionals, both new to FME and seasoned users, seeking to streamline their processes and leverage the full potential of their CAD and GIS systems.
Geospatial Synergy: Amplifying Efficiency with FME & Esri
Dive deep into the world of geospatial data management and transformation in our upcoming webinar focusing on the powerful integration of FME and Esri technologies. This insightful session comprises two compelling segments aimed at enhancing your geospatial workflows, while minimizing operational hurdles.
In the first segment, guest speaker Jan Roggisch from Locus unveils how Auckland Council triumphed over the challenges of handling large, frequent data updates on ArcGIS Online using FME. Discover the journey from manual data handling to an automated, streamlined process that reduced server downtime from minutes to seconds: setting a new standard for local government organizations.
The second segment, led by James Botterill from 1Spatial, unveils the magic of incorporating ArcPy into your FME workflows. Delve into real-world scenarios where ArcGIS geoprocessing is harmoniously orchestrated within FME using the PythonCaller. Gain insights into raster-vector data conversion, spatial analysis, and a host of practical tips and tricks that empower you to leverage the combined capabilities of FME and Esri for efficient data manipulation and conversion.
Join us to explore the remarkable possibilities that open up when FME and Esri technologies converge – enhancing your ability to manage and transform geospatial data with unprecedented efficiency.
Introducing the New FME Community Webinar - Feb 21, 2024 (2).pdf
Join us at Safe Software as we unveil the exciting new FME Community platform.
Picture yourself entering a vibrant, interconnected world, where every click brings you closer to a fellow FME enthusiast, a new idea, or a solution that could revolutionize your workflow.
Since its inception, the FME Community has been a dynamic hub for knowledge sharing, where thousands of users converge to exchange insights, engage in stimulating discussions, and collaboratively solve challenges. Now, envision this community reimagined - retaining the features you know and love, but infused with new, cutting-edge functionalities designed to make your experience even more enriching and effortless. The Community is also planned to soon act as a central hub for all FME community acticity across the web.
This webinar is your personal tour through this enhanced FME Community landscape. Whether you're an experienced user familiar with every nook and cranny of the old platform, or you're setting foot in this community for the first time, our webinar will ensure you navigate the new terrain with ease and confidence. Discover how to maximize your engagement, tap into the wealth of resources available, and contribute to the growing tapestry of FME innovation.
Join us in celebrating the future of FME collaboration, where your next breakthrough idea, insightful article, or spirited discussion awaits. Don't miss this opportunity to be a part of the evolution of the FME Community!
Breaking Barriers & Leveraging the Latest Developments in AI Technology
Explore how to best leverage the latest of AI technology in our upcoming webinar, where we delve into advancements and trends in the field since our previous AI webinars in 2023. Join us for a session filled with fresh insights and practical knowledge. We're stitching together the final threads of this presentation as we speak, keeping pace with AI's breakneck speed. Expect a session brimming with the freshest insights, releases and breakthroughs in AI – right up to the minute! A spotlight of this session is set to include Dmitri Bagh’s exploration of innovative AI integrations with FME, ranging from generating 3D features for augmented reality using Dall-E, to enhancing urban planning with orthoimagery completion, and showcasing the power of AI in workspace analysis and geoart creation.
Whether you're new to AI or an experienced practitioner, this webinar is tailored to keep you at the forefront of AI innovation. Get ready for a session that is as informative as it is inspiring, equipping you with the tools to excel in the dynamic world of artificial intelligence.
Best Practices to Navigating Data and Application Integration for the Enterpr...
Navigating the complexities of managing vast enterprise data across multiple systems can be challenging. This webinar is your guide to navigating and simplifying enterprise integration.
As a technology leader, you may grapple with legacy systems, shadow IT, and budget constraints. Data and personnel silos often impede technological progress. FME champions integrating superior business systems to bolster your organization's digital strength – efficiently and affordably, using your current team and accessible services.
Join us and partner guest speakers from Seamless in an engaging session exploring the essential roles of data and systems in modern enterprises. We'll provide insights on achieving high-quality data management, establishing strong governance, and enabling teams to manage their data effectively. Delve into strategies for ensuring high-quality data and building robust governance structures, with tips and tricks along the way.
This webinar features real-life case studies demonstrating success in diverse industries. Learn cutting-edge strategies for data governance and system integration. Don't miss this opportunity to gain valuable insights and best practices for transforming your data governance and system integration processes.
More from Safe Software (20)
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: Optimizing FME Workflows with Parameters
Essentials of Automations: Optimizing FME Workflows with Parameters
The Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and Insight
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Powering Real-Time Decisions with Continuous Data Streams
Powering Real-Time Decisions with Continuous Data Streams
The Critical Role of Spatial Data in Today's Data Ecosystem
The Critical Role of Spatial Data in Today's Data Ecosystem
Cloud Revolution: Exploring the New Wave of Serverless Spatial Data
Cloud Revolution: Exploring the New Wave of Serverless Spatial Data
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
Igniting Next Level Productivity with AI-Infused Data Integration Workflows
The Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and Insight
Mastering MicroStation DGN: How to Integrate CAD and GIS
Mastering MicroStation DGN: How to Integrate CAD and GIS
Geospatial Synergy: Amplifying Efficiency with FME & Esri
Geospatial Synergy: Amplifying Efficiency with FME & Esri
Introducing the New FME Community Webinar - Feb 21, 2024 (2).pdf
Introducing the New FME Community Webinar - Feb 21, 2024 (2).pdf
Breaking Barriers & Leveraging the Latest Developments in AI Technology
Breaking Barriers & Leveraging the Latest Developments in AI Technology
Best Practices to Navigating Data and Application Integration for the Enterpr...
Best Practices to Navigating Data and Application Integration for the Enterpr...
Recently uploaded
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Microsoft - Power Platform_G.Aspiotis.pdf
Revolutionizing Application Development
with AI-powered low-code, presentation by George Aspiotis, Sr. Partner Development Manager, Microsoft
20 Comprehensive Checklist of Designing and Developing a Website
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
A tale of scale & speed: How the US Navy is enabling software delivery from l...
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations20240609 QFM020 Irresponsible AI Reading List May 2024
Everything I found interesting about the irresponsible use of machine intelligence in May 2024
Mind map of terminologies used in context of Generative AI
Mind map of common terms used in context of Generative AI.
Building RAG with self-deployed Milvus vector database and Snowpark Container...
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
20240605 QFM017 Machine Intelligence Reading List May 2024
Everything I found interesting about machines behaving intelligently during May 2024
Pushing the limits of ePRTC: 100ns holdover for 100 days
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
How to Get CNIC Information System with Paksim Ga.pptx
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Recently uploaded (20)
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
20 Comprehensive Checklist of Designing and Developing a Website
20 Comprehensive Checklist of Designing and Developing a Website
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AI
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Building RAG with self-deployed Milvus vector database and Snowpark Container...
Building RAG with self-deployed Milvus vector database and Snowpark Container...
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
How to Get CNIC Information System with Paksim Ga.pptx
How to Get CNIC Information System with Paksim Ga.pptx
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Getting from A to B with FME
- 1. CONNECT. TRANSFORM. AUTOMATE. Getting From A to B with FME Benjamin Quest con terra GmbH
- 2. Abstract ! Stadtwerke Münster was the first public transit authority in Germany to publish their data to Google Transit and to enable customers to easily find their best connection from one location to another. The multimodal transport options are easily accessible on any device including mobile phones. Stadtwerke Münster used FME to transform timetables and bus route data form the existing management systems into the General Transit Feed Specification (GTFS) used by Google Transit. FME helped to proof and harmonize the bus timetable data coming from heterogeneous data sources within the transit authority. The next step in the very near future will be the support of real time transit data delivery to customers powered by FME.
- 3. Agenda ! Destination ! From A: Source Data ! To B: Destination Schema ! Quality Assurance ! Some Obstacles ! Herr Müller ! Road Ahead
- 4. Client: Stadtwerke Münster ! Contractor for electricity, heat and water ! Local public transport agency ! 115.000 passengers per day ! 100.000 arrivals and departures per day ! 170 busses ! 400 km bus network ! 600 stations ! 18 bus routes + 6 night bus routes ! 16 taxi bus routes
- 5. Customer Information ! Time tables at bus stations ! Ticket and time table information on website ! Fahrgastinformationssystem FIS ! Departure times at bus stops ! Apps for Android and iOS
- 6. Destination ! Promoting multimodal routing in the city of Münster ! Make Stadtwerke Münster the first public transport agency on Google Transit in Germany ! " Transform and transfer timetable information to Google Transit ! A typical FME challenge: Getting the data from schema A to schema B
- 7. From A: Source Data ! Multiple applications, databases and files ! Export formats on national VDV standards but heterogeneous: ! ASCII CSV (with/without header) or XML ! " Use of VDV DIVA exchange format (DINO) based on CSV
- 8. To B: General Transit Feed Specification (GTFS) ! Open standard ! ZIP archive with CSV files ! GTFS real-time extension ! Binary format ! Specification discussion board agency routes calendar stop_times trips … … …
- 9. Quality Assurance I ! QA with FME reviewing the data and during the workspace design process ! For example: completeness of data ! Route names ! Destination descriptions ! Route geometry ! Bus stop description (example: “entrance only”) ! Taxi bus " bus on demand
- 10. Quality Assurance II ! Using Google tools within FME ! Python shutdown script ! Creation of HTML report with Feed Validator ! Creation of batch file with shortcut to Schedule Viewer
- 11. Google Tools Google Feed Validator Google Schedule Viewer
- 12. Obstacle I: Non or Almost Non Spatial Data ! ~600 bus stations ! ~1200 bus stops, but ! 50 without location ! 200 located on the centerline of the street ! 300 located wrong ! Solution ! New survey with GISPAD, placing and controlling using ArcMap and orthophotos
- 13. Obstacle II: “Stops_to_close” Warnings ! Bus stops with redundant representations in the source database ! One bus stop, but different identifiers for multiple routes (bus, night bus, taxi bus) ! Exactly same coordinates, sometimes discrepancy in centimeter scale ! FME solution: DuplicateRemover + FeatureMerger (Duplicates) on coordinates rounded to meters
- 14. Obstacle III: Coordinate Offset ! Source coordinate system: DINO ! EPSG:31467 / DHDN GK Zone 3 ! Destination coordinate system: GTFS ! EPSG:4326 / LL WGS84 ! Insufficient results with high precision transformations BeTa2007_NTv2 and 7 parameter ! 5 meter offset
- 15. Obstacle III: Coordinate Offset ! FME Solution: Implementing Google transformation parameters in MyCoordSysDefs.fme Default Transformation “Google” Transformation
- 16. Obstacle IV: Representation of Stop Times ! DINO (source database) 1. Departure at 12:23 from station x 2. Next stop in 60 seconds at station y 3. Next stop in 120 seconds at station z ! GTFS 1. Stop at 12:23 at station x 2. Stop at 12:24 at station y 3. Stop at 12:26 at station z 12:23 + 60 sec + 120 sec 12:23 12:24 12:26
- 17. FME Solution ! Use of VariableSetter and VariableRetriever to calculate the absolute time schedules for every route ! Less runtime than using FeatureMerger
- 18. Obstacle V: On Demand Taxi Busses ! A lot of stops with the same departure time ! GTFS doesn’t allow identic departure times on consecutive stops
- 19. FME Solution ! “Removing” redundant stop times ! Sorter + VariableSetter and VariableRetriever
- 20. Feed Publication ! Google Transit Partner Portal ! Publication of feed by partner ! 2 options ! Upload of csv files ! Feed via (Secured) URL ! Individual review by Google at 1st upload
- 21. Google Transit Partner Portal ! Visual route control by user
- 22. Project History ! Final review and approval by Google in July 2012 ! Publication of German railway timetables in August 2012 ! Go live in November 2012 as the first local public transport agency in Germany together with City of Munich ! " Destination reached!
- 23. Herr Müller ! Visiting Münster for the first time ! Likes to go from the mainstation to Münster castle
- 24. Road Ahead ! Implementation of real route geometries ! Implementation of GTFS real time ! Real time departures and arrivals ! Delays ! Shifted or inactive stops (constructions) ! Real time vehicle locations
- 25. Thank You! ! For more information: con terra GmbH fme@conterra.de Benjamin Quest b.quest@conterra.de @benjamin_quest CONNECT. TRANSFORM. AUTOMATE.