Discusses an open-source tool that can sync GTFS datasets with OpenStreetMap to help small agencies manage their bus stop inventory via crowd-sourcing. Includes some actual results of crowd-sourcing bus stop location accuracy in Tampa, FL.
What to do with the existing spatial data in planningKarel Charvat
The document discusses harmonizing spatial planning data from different regions in Europe to be compliant with INSPIRE directives. It describes the Plan4all project which developed conceptual data models for several INSPIRE themes including land cover, land use, and natural risk zones. The harmonization process involves describing source data, defining transformations between source and target structures, and publishing the harmonized data through web services and applications. Lessons learned include clearly defining source data and code lists to aid transformation and addressing differences in how terms are used across countries.
Austria's traffic model is used by national and state authorities to plan infrastructure projects. It forecasts road and rail traffic volumes based on demographic and economic data. The iMOVE project aims to improve the model by combining different cargo movement surveys, incorporating toll data, and calibrating origin-destination flows using traffic counts. This will produce a more accurate and repeatable process for compiling cargo movement data on Austria's road network.
Slides of my PhD presentation @ Eurecom, presenting our work on publishing and consuming geo-spatial data and government data using Semantic Web technologies.
GeoWeastflows is an open data mapping platform dedicated to transport and logistics in North-Western Europe. It allows users in the supply chain industry to upload nearly 200 data sets, access over 50 maps, and create their own customized maps. The platform centralizes key freight transport data for the region, allows sharing of information between public and private stakeholders, and promotes open data standards set by the European Union.
This document discusses using historical public transportation data to model commuter profiles. It describes Switzerland's open public transportation API and an app that uses it to show station connections. The document then shows examples of commuter profiles modeled from historical schedule data, including details like time, day of week, and intermediate stops. Finally, it discusses future directions like aggregating data, connecting to other open data types, privacy considerations, and how transportation companies could use the data for traffic predictions.
ERSA 2017: A linked open data based system for flexible delineation of geogra...Ali Khalili
This document summarizes a linked open data based system for flexible delineation of geographic areas developed by the Semantically Mapping Science (SMS) Platform. The SMS Platform aims to integrate heterogeneous data sources to generate new insights. It develops services for entity recognition, metadata, categories, basic and innovative geospatial analysis, and integration of public, private and open datasets. The platform builds a linked open data space representing administrative boundaries from multiple sources. It extracts, links and enriches geographic data to flexibly define functional geographic areas for analysis. An example use case examines the relationship between innovation projects, socioeconomic variables and hybrid functional areas in the Netherlands.
This document discusses using Aster graph analytics on airline route data to analyze the network structure and connections between airports. It loaded open flight data on routes between 3,209 airports into Aster tables and visualized the graphs in Tableau. Graph analytics were performed to identify central airports, prominent hubs, and key connectors within the US and global networks. Metrics like centrality, prominence, minimum hops between locations, and typical number of layovers were analyzed to gain insights into the network structure.
What to do with the existing spatial data in planningKarel Charvat
The document discusses harmonizing spatial planning data from different regions in Europe to be compliant with INSPIRE directives. It describes the Plan4all project which developed conceptual data models for several INSPIRE themes including land cover, land use, and natural risk zones. The harmonization process involves describing source data, defining transformations between source and target structures, and publishing the harmonized data through web services and applications. Lessons learned include clearly defining source data and code lists to aid transformation and addressing differences in how terms are used across countries.
Austria's traffic model is used by national and state authorities to plan infrastructure projects. It forecasts road and rail traffic volumes based on demographic and economic data. The iMOVE project aims to improve the model by combining different cargo movement surveys, incorporating toll data, and calibrating origin-destination flows using traffic counts. This will produce a more accurate and repeatable process for compiling cargo movement data on Austria's road network.
Slides of my PhD presentation @ Eurecom, presenting our work on publishing and consuming geo-spatial data and government data using Semantic Web technologies.
GeoWeastflows is an open data mapping platform dedicated to transport and logistics in North-Western Europe. It allows users in the supply chain industry to upload nearly 200 data sets, access over 50 maps, and create their own customized maps. The platform centralizes key freight transport data for the region, allows sharing of information between public and private stakeholders, and promotes open data standards set by the European Union.
This document discusses using historical public transportation data to model commuter profiles. It describes Switzerland's open public transportation API and an app that uses it to show station connections. The document then shows examples of commuter profiles modeled from historical schedule data, including details like time, day of week, and intermediate stops. Finally, it discusses future directions like aggregating data, connecting to other open data types, privacy considerations, and how transportation companies could use the data for traffic predictions.
ERSA 2017: A linked open data based system for flexible delineation of geogra...Ali Khalili
This document summarizes a linked open data based system for flexible delineation of geographic areas developed by the Semantically Mapping Science (SMS) Platform. The SMS Platform aims to integrate heterogeneous data sources to generate new insights. It develops services for entity recognition, metadata, categories, basic and innovative geospatial analysis, and integration of public, private and open datasets. The platform builds a linked open data space representing administrative boundaries from multiple sources. It extracts, links and enriches geographic data to flexibly define functional geographic areas for analysis. An example use case examines the relationship between innovation projects, socioeconomic variables and hybrid functional areas in the Netherlands.
This document discusses using Aster graph analytics on airline route data to analyze the network structure and connections between airports. It loaded open flight data on routes between 3,209 airports into Aster tables and visualized the graphs in Tableau. Graph analytics were performed to identify central airports, prominent hubs, and key connectors within the US and global networks. Metrics like centrality, prominence, minimum hops between locations, and typical number of layovers were analyzed to gain insights into the network structure.
Progress in Building Freight Flows & Network MKM 2008WJ
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.
WHITE PAPER: Data Harmonization & Interoperability in OpenTransportNetplan4all
OpenTransportNet (OTN) distributes a series of White Papers to showcase its innovative approach in the
technical implementation of the OTN Hubs, and to communicate key outcomes in terms of service creation
and harmonisation of transport related data.
The White Papers are intended to provide insights and share lessons learned to others interested in using
the OTN approach for aggregating, harmonizing and visualising transport data. The audience for these
White Papers are mainly city and regional authorities that maintain and aggregate diverse data sources and
stimulate innovation development in transport, and the wider community of developers and experts in the
field of (geo) data as an opportunity to network and exchange knowledge.
This first White Paper, in a series of three, focuses on the data harmonisation process of the OTN project,
and is structured along the following use cases: (1) metadata harmonization through the CKAN and Micka
metadata management tools, and the upcoming GeoDCAT-AP metadata profile, (2), the DataTank data
management system and (3) the harmonized data model for road network data.
The paper starts with the main concepts of data interoperability and harmonization. Next, the use cases
are described that were implemented in the OTN project until January 2016 with the collaboration of the
four pilot cities (Antwerp, Issy-les-Moulineaux, Birmingham and the Liberec Region) and with the
consultation of the standard bodies Open Geospatial Consortium (OGC) and the World Wide Web
Consortium (W3C), and the in-house research centre of the European Commission, the Joint Research
Centre (JRC). The White Paper ends with harmonization guidelines for cities and regions interested in using
the OTN approach, and next steps of the OTN project in harmonization.
The second White Paper will describe further transport-related use cases including the Smart Points of
Interest in RDF and the Open Land Use Map. The second paper will also elaborate on the licensing aspects
of the project. The last White Paper will provide testimonials of pilot cities and regions and their key
outcomes, including innovative ways of big data visualizations and the involvement of local communities in
the co-creation of services.
From Flat Files to Usable Deliverables: FME Empowers TransitSafe Software
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.
This paper presents a new Hierarchical Clustering and Grid Mapping (H-G) approach to estimate hourly traffic emissions for an entire city using cellular activity data. The proposed method involves five steps: 1) preprocessing cellular data to generate GPS-labeled records, 2) generating a grid map of the city, 3) using hierarchical clustering to group cell towers and generate centroids, 4) matching movements to grids using shortest path algorithms, and 5) estimating emissions using an output of vehicle miles traveled in each grid. The method was tested using data from a midsize city in China and was able to reveal city-scale traffic dynamics and estimate hourly vehicle emissions across the entire city.
The document discusses the need to create an online database and information system to capitalize on transportation data for the Alsace region of France. It outlines that the initial tool was an ACCESS database, but it has limitations. The proposed solution involves developing a new online system using MySQL and PHP that allows dynamic data handling and visualization. Key features would include the ability to display and analyze traffic data by transportation network sections and origin-destination, with interactive maps and reports. The system aims to make data accessible to different user groups and facilitate sharing of information.
OHB System AG is one of the top three space companies in Europe, employing around 2,000 people across sites in Bremen and Munich. It specializes in high-tech satellite solutions for applications like Earth observation, navigation, telecommunications, and science. One of its product lines is SmallGEO, a series of 3-axis stabilized geostationary satellites designed for telecommunications and Earth observation missions with a 15-year design lifetime. SmallGEO satellites offer flexibility through hybrid or fully electric propulsion and compatibility with common frequency bands for telecommunications payloads.
BigDataEurope SC4 Workshop: BigDataEurope and the Societal Challenge on Transport on 14th September 2017
Presentation: Demonstration of the Big Data Integrator Platform - Front end services
Understanding Map Integration Using GIS Software_ffMichelle Pasco
This document discusses map integration methods for road network data from two sources, the Virginia Department of Transportation's Linear Referencing System (LRS) and proprietary data from INRIX (XD). Two methods, spatial join and transfer attributes, are evaluated on five Virginia interstates. Spatial join joins features based on intersecting geometry, while transfer attributes joins on common attributes within a search distance. The accuracy of each method is calculated based on the number of features that match between the datasets. Spatial join is tested using different coordinate systems and LRS layers, while transfer attributes varies the search distance. Visualizing the buffers helps understand how distance affects matching.
The document provides an overview of spatial databases and geographic information systems (GIS). It discusses key concepts such as spatial data types, spatial queries, and spatial database management systems. It also presents three case studies that demonstrate real-world applications of spatial databases and GIS for tasks such as predicting wetland bird nest locations, estimating greenhouse gas emissions from land use changes, and assessing land use changes in the Pantanal region of Brazil over time. Overall, the document outlines how spatial databases and GIS can store, analyze, and help understand spatial data and spatial relationships.
A spatial database, or geodatabase is a database that is optimized to store and query data
that represents objects defined in a geometric space. Most spatial databases allow representing simple geometric objects such as points, lines and polygons.
OpenStreetMap Completeness for England 03/10Muki Haklay
Set of maps which show the completeness of OpenStreetMap when compared to Ordnance Survey Meridian 2 database. For more details, see povesham.wordpress.com
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
The Large-scale Reference Database (LRD) is a geographical base map and object-oriented database for Flanders that contains information on buildings, roads, parcels, and other infrastructure. It is maintained through a public-private partnership and aims to be the single authoritative source of geospatial information. The LRD undergoes regular updates through various processes to integrate new or changed objects based on data from public works, surveys, and other sources. Its data is freely available through download and web services and is used widely in both public and private applications. Officials are working to develop the LRD into interconnected base registries that can serve as foundational geospatial references.
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.
The document discusses the Geonames and ZABAGED databases in the Czech Republic. It states that Geonames standardization began on maps before World War II and the databases were joined in 2009. Now, Geonames features have their own geometries and link to corresponding ZABAGED features. Both databases can now be fused, representing named places according to INSPIRE policy.
This document summarizes work done to format raw well data from the Texas Railroad Commission (TRRC) into a usable database. There are over 1.3 million wells and 1.7 million formation tops included. The data was separated into tables and geopackages, errors in formation names were corrected, and the data was made compatible with GIS software. The final dataset includes well header and formation tops files that are searchable and have standardized naming.
The document summarizes the National Street Gazetteer (NSG) in England and Wales. It provides statistics on data submission and quality improvements since Intelligent Addressing took over management of the NSG in 2005. Highway authorities submit street data that is accessed by statutory undertakers and used for address management and works coordination. Submission of complete street geometry data (Level 3) has increased over time.
2010 USDOT FHWA Travel Model Improvement Program (TMIP) National Webinar on D...Sean Barbeau
Discussion of mobile devices and mobile applications as an opportunity for collecting travel behavior data. Benchmarking results of the potential implications of the use of GPS on battery life and data transfer are presented, as well as data analysis techniques.
CellViz is a mobile app that collects GPS and cellular network signal data to visualize a user's cell network coverage. The app records location, timestamp, signal strength and other network details. It then emails the user CSV and KML files of the data, which can be viewed in Google Earth. Google Earth allows users to see network coverage, signal handoffs over time, and how terrain and buildings affect signal quality in 3D.
TRB 2014 - Automatic Spatial-temporal Identification of Points of Interest in...Sean Barbeau
Presented at the Transportation Research Board 2014 meeting - Past research in travel surveys has shown that a GPS mobile phone-based survey is a useful tool for collecting information about individuals. While a passive travel survey collection is preferred to an active travel survey method, passive collection remains a challenge due to a lack of high accuracy algorithms to automatically identify trip starts and trip ends. This paper presents Automatic Spatial Temporal Identication of Points of Interest (ASTIPI), an unsupervised spatial temporal algorithm to identify POIs. ASTIPI utilizes the temporal and spatial properties of the dataset to obtain a high accuracy of POI identication, even on a reduced GPS dataset that uses techniques to conserve battery life on mobile devices. While reducing outliers within POIs, ASTIPI also has a linear running time and maintains the temporal orders of the location data so that arrival and departure information can be easily extracted and thus, users' trips can be quickly identied. Using real data from mobile devices,evaluations of ASTIPI and other existing algorithms are performed, showing that ASTIPI obtains the highest accuracy of POI identication with an average accuracy of 88% when performing on full datasets generated using the GPS Auto-Sleep module and an average accuracy of 59% when performing on reduced datasets generated using both the GPS Auto-Sleep module and the Critical Points algorithm.
(C) 2014 USF, Patent Pending
Progress in Building Freight Flows & Network MKM 2008WJ
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.
WHITE PAPER: Data Harmonization & Interoperability in OpenTransportNetplan4all
OpenTransportNet (OTN) distributes a series of White Papers to showcase its innovative approach in the
technical implementation of the OTN Hubs, and to communicate key outcomes in terms of service creation
and harmonisation of transport related data.
The White Papers are intended to provide insights and share lessons learned to others interested in using
the OTN approach for aggregating, harmonizing and visualising transport data. The audience for these
White Papers are mainly city and regional authorities that maintain and aggregate diverse data sources and
stimulate innovation development in transport, and the wider community of developers and experts in the
field of (geo) data as an opportunity to network and exchange knowledge.
This first White Paper, in a series of three, focuses on the data harmonisation process of the OTN project,
and is structured along the following use cases: (1) metadata harmonization through the CKAN and Micka
metadata management tools, and the upcoming GeoDCAT-AP metadata profile, (2), the DataTank data
management system and (3) the harmonized data model for road network data.
The paper starts with the main concepts of data interoperability and harmonization. Next, the use cases
are described that were implemented in the OTN project until January 2016 with the collaboration of the
four pilot cities (Antwerp, Issy-les-Moulineaux, Birmingham and the Liberec Region) and with the
consultation of the standard bodies Open Geospatial Consortium (OGC) and the World Wide Web
Consortium (W3C), and the in-house research centre of the European Commission, the Joint Research
Centre (JRC). The White Paper ends with harmonization guidelines for cities and regions interested in using
the OTN approach, and next steps of the OTN project in harmonization.
The second White Paper will describe further transport-related use cases including the Smart Points of
Interest in RDF and the Open Land Use Map. The second paper will also elaborate on the licensing aspects
of the project. The last White Paper will provide testimonials of pilot cities and regions and their key
outcomes, including innovative ways of big data visualizations and the involvement of local communities in
the co-creation of services.
From Flat Files to Usable Deliverables: FME Empowers TransitSafe Software
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.
This paper presents a new Hierarchical Clustering and Grid Mapping (H-G) approach to estimate hourly traffic emissions for an entire city using cellular activity data. The proposed method involves five steps: 1) preprocessing cellular data to generate GPS-labeled records, 2) generating a grid map of the city, 3) using hierarchical clustering to group cell towers and generate centroids, 4) matching movements to grids using shortest path algorithms, and 5) estimating emissions using an output of vehicle miles traveled in each grid. The method was tested using data from a midsize city in China and was able to reveal city-scale traffic dynamics and estimate hourly vehicle emissions across the entire city.
The document discusses the need to create an online database and information system to capitalize on transportation data for the Alsace region of France. It outlines that the initial tool was an ACCESS database, but it has limitations. The proposed solution involves developing a new online system using MySQL and PHP that allows dynamic data handling and visualization. Key features would include the ability to display and analyze traffic data by transportation network sections and origin-destination, with interactive maps and reports. The system aims to make data accessible to different user groups and facilitate sharing of information.
OHB System AG is one of the top three space companies in Europe, employing around 2,000 people across sites in Bremen and Munich. It specializes in high-tech satellite solutions for applications like Earth observation, navigation, telecommunications, and science. One of its product lines is SmallGEO, a series of 3-axis stabilized geostationary satellites designed for telecommunications and Earth observation missions with a 15-year design lifetime. SmallGEO satellites offer flexibility through hybrid or fully electric propulsion and compatibility with common frequency bands for telecommunications payloads.
BigDataEurope SC4 Workshop: BigDataEurope and the Societal Challenge on Transport on 14th September 2017
Presentation: Demonstration of the Big Data Integrator Platform - Front end services
Understanding Map Integration Using GIS Software_ffMichelle Pasco
This document discusses map integration methods for road network data from two sources, the Virginia Department of Transportation's Linear Referencing System (LRS) and proprietary data from INRIX (XD). Two methods, spatial join and transfer attributes, are evaluated on five Virginia interstates. Spatial join joins features based on intersecting geometry, while transfer attributes joins on common attributes within a search distance. The accuracy of each method is calculated based on the number of features that match between the datasets. Spatial join is tested using different coordinate systems and LRS layers, while transfer attributes varies the search distance. Visualizing the buffers helps understand how distance affects matching.
The document provides an overview of spatial databases and geographic information systems (GIS). It discusses key concepts such as spatial data types, spatial queries, and spatial database management systems. It also presents three case studies that demonstrate real-world applications of spatial databases and GIS for tasks such as predicting wetland bird nest locations, estimating greenhouse gas emissions from land use changes, and assessing land use changes in the Pantanal region of Brazil over time. Overall, the document outlines how spatial databases and GIS can store, analyze, and help understand spatial data and spatial relationships.
A spatial database, or geodatabase is a database that is optimized to store and query data
that represents objects defined in a geometric space. Most spatial databases allow representing simple geometric objects such as points, lines and polygons.
OpenStreetMap Completeness for England 03/10Muki Haklay
Set of maps which show the completeness of OpenStreetMap when compared to Ordnance Survey Meridian 2 database. For more details, see povesham.wordpress.com
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
The Large-scale Reference Database (LRD) is a geographical base map and object-oriented database for Flanders that contains information on buildings, roads, parcels, and other infrastructure. It is maintained through a public-private partnership and aims to be the single authoritative source of geospatial information. The LRD undergoes regular updates through various processes to integrate new or changed objects based on data from public works, surveys, and other sources. Its data is freely available through download and web services and is used widely in both public and private applications. Officials are working to develop the LRD into interconnected base registries that can serve as foundational geospatial references.
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.
The document discusses the Geonames and ZABAGED databases in the Czech Republic. It states that Geonames standardization began on maps before World War II and the databases were joined in 2009. Now, Geonames features have their own geometries and link to corresponding ZABAGED features. Both databases can now be fused, representing named places according to INSPIRE policy.
This document summarizes work done to format raw well data from the Texas Railroad Commission (TRRC) into a usable database. There are over 1.3 million wells and 1.7 million formation tops included. The data was separated into tables and geopackages, errors in formation names were corrected, and the data was made compatible with GIS software. The final dataset includes well header and formation tops files that are searchable and have standardized naming.
The document summarizes the National Street Gazetteer (NSG) in England and Wales. It provides statistics on data submission and quality improvements since Intelligent Addressing took over management of the NSG in 2005. Highway authorities submit street data that is accessed by statutory undertakers and used for address management and works coordination. Submission of complete street geometry data (Level 3) has increased over time.
2010 USDOT FHWA Travel Model Improvement Program (TMIP) National Webinar on D...Sean Barbeau
Discussion of mobile devices and mobile applications as an opportunity for collecting travel behavior data. Benchmarking results of the potential implications of the use of GPS on battery life and data transfer are presented, as well as data analysis techniques.
CellViz is a mobile app that collects GPS and cellular network signal data to visualize a user's cell network coverage. The app records location, timestamp, signal strength and other network details. It then emails the user CSV and KML files of the data, which can be viewed in Google Earth. Google Earth allows users to see network coverage, signal handoffs over time, and how terrain and buildings affect signal quality in 3D.
TRB 2014 - Automatic Spatial-temporal Identification of Points of Interest in...Sean Barbeau
Presented at the Transportation Research Board 2014 meeting - Past research in travel surveys has shown that a GPS mobile phone-based survey is a useful tool for collecting information about individuals. While a passive travel survey collection is preferred to an active travel survey method, passive collection remains a challenge due to a lack of high accuracy algorithms to automatically identify trip starts and trip ends. This paper presents Automatic Spatial Temporal Identication of Points of Interest (ASTIPI), an unsupervised spatial temporal algorithm to identify POIs. ASTIPI utilizes the temporal and spatial properties of the dataset to obtain a high accuracy of POI identication, even on a reduced GPS dataset that uses techniques to conserve battery life on mobile devices. While reducing outliers within POIs, ASTIPI also has a linear running time and maintains the temporal orders of the location data so that arrival and departure information can be easily extracted and thus, users' trips can be quickly identied. Using real data from mobile devices,evaluations of ASTIPI and other existing algorithms are performed, showing that ASTIPI obtains the highest accuracy of POI identication with an average accuracy of 88% when performing on full datasets generated using the GPS Auto-Sleep module and an average accuracy of 59% when performing on reduced datasets generated using both the GPS Auto-Sleep module and the Critical Points algorithm.
(C) 2014 USF, Patent Pending
2013 USF Research That Matters Conference - OneBusAway – Sharing Real-time Tr...Sean Barbeau
OneBusAway is an open-source real-time transit information system created by the University of Washington. It provides mobile apps and websites that share real-time transit data via General Transit Feed Specification (GTFS) to help riders know when the next bus or train will arrive. The document discusses OneBusAway deployments in several cities and an ongoing research study in Tampa, Florida investigating how OneBusAway impacts rider behavior and satisfaction. Preliminary survey results from over 200 riders found that most users felt more satisfied with transit service and relaxed when waiting since using OneBusAway.
This project developed a prototype system that can serve as a modern high-tech “Neighborhood Watch” enabling law enforcement officials access to the many “eyes and ears” of the public. Cell phones with embedded digital cameras allow the instant capture and remote submission of suspicious circumstances through pictures or video to authorities that may warrant further attention or action by law enforcement. Not only does this give the responding party a visual representation of the situation, but other information such as time, date, voice recordings, and physical location of the reporting party in Global Positioning System (GPS) coordinates can also be automatically attached to the report. Upon submission, the picture or video and other information is automatically processed and displayed on a map-based web page to give the dispatcher a real-time “birds-eye” view of incoming alerts. The system intelligently filters and organizes submissions so they can be efficiently managed, therefore allowing the dispatcher to handle many more submissions simultaneously identifying trends and patterns that may not be immediately obvious to a human observer.
Screenshot of WiVia website showing ability to send multimedia messages to phones based on their location
Another aspect of the system is its “reverse 911” component for data-enabled mobile phones. When a threat to the public or individuals is identified, the dispatcher could instantly relay a message to individuals with cell phones or PDAs in a certain geographic area. Examples of such information could be the need to evacuate a particular area (e.g., hurricane) where the real-time control of when, where, and to whom such information is disseminated. Another example is distributing an Amber Alert photo of a missing child to the geographic area where the child was last seen. The project team has successfully implemented a prototype application that runs on a cell phone, reports the position of the phone to the server, and then, based on calculations against a Hillsborough County map, returns a text message to the phone with information on the hurricane evacuation zone that the individual is currently located in (i.e “You are in Evacuation Zone C, which is currently under a mandatory evacuation order”).
Digital etiquette refers to a basic set of rules for interacting with others online in a courteous and respectful manner, similar to how one would behave in person. Following netiquette guidelines helps create a positive online environment for all by considering how one's actions and communications might affect others.
2011 ITS World Congress - TAD - Travel Assistance Mobile App to Help Transit ...Sean Barbeau
A discussion of the first real-time transit navigation app that was created to help transit riders with intellectual disabilities use public transportation.
ACT 2011 - Emerging Worksite Trip-Reduction Information ToolsSean Barbeau
New technologies, such as OpenTripPlanner (http://opentripplanner.org), are emerging to to help employers reduce work trips made by employees. This presentation discusses these new technologies.
This document provides an overview and analysis of Reliance Communications Ltd., an Indian telecommunications company. It discusses Reliance's vision, business description, products and services. Specifically, it covers Reliance's mobile (prepaid and postpaid) and landline phone services. Charts and lists are provided outlining key features and tariff plans for Reliance's various offerings.
A Location-Aware Architecture Supporting Intelligent Real-time Mobile Applica...Sean Barbeau
My Ph.D. dissertation defense! :)
With the number of Global Positioning System (GPS)-enabled mobile phones rapidly increasing due to maturing positioning technologies, intelligent location-aware applications are poised to become the next innovation in mobile phones. However, innovations bring new challenges. As cellular data networks achieve broadband speeds, constrained device resources (e.g. battery life) replace bandwidth as a primary limiting factor for mobile applications. IP-based networking protocols, now widely available in Java Micro Edition devices, must be carefully integrated into existing architectures to meet application needs and maximize system efficiency. Evolving location-aware architectures require intelligent clients for low-latency real-time applications and efficient management of device resources, as well as server-side intelligence to analyze past user behavior. This paper expands previous work on location-aware architectures and presents Location-Aware Information Systems Client (LAISYC), a comprehensive location-aware framework supporting intelligent real-time mobile applications.
Short version is in this IEEE Pervasive Computing publication:
http://bit.ly/IEEE_Per_Com_LAISYC
Full dissertation:
http://bit.ly/BarbeauDissertation
The document provides tips for not being an asshole, beginning with overly polite behaviors like saying grace and praising Jesus regardless of beliefs, as well as denying basic human functions. Better suggestions are given such as baking funfetti goods for others, limiting excessive social media posts, keeping a red hair color, and simply not being an asshole. The presentation humorously suggests both obvious and ridiculous ways to avoid asshole behaviors.
2012 National Academy of Inventors - GPS Auto-Sleep for Energy-Efficient Loca...Sean Barbeau
Description of a software technique and real-world benchmarks for mobile application developers that can significantly reduce the impact of the use of GPS on a mobile device's battery life.
The document discusses several recent motiveless crimes including rampages at Uijeongbu Station and Yeouido in August 2012 where several people were injured, as well as the Aurora Shooting in July 2012 where 12 people were killed and 58 injured. It notes that the motives for such unpredictable and random acts of violence can include illness, dissatisfaction, or indifference. It concludes by raising questions around how to prevent future dangerous incidents and promoting overall welfare and care from society.
This document discusses the Spanish connectors "because" and "so". It provides the grammatical structure for "because", which connects an independent clause and a dependent clause of reason. Examples are given showing the dependent clause can come before or after the independent clause. The meaning and usage of "so" is also explained, noting it connects independent clauses where one is the result of the other. Exercises are included to practice translating sentences and filling in blanks with "because" or "so".
The document provides commentary on the teachings of Sri Ranjit Maharaj. It discusses two main concepts - the illusory nature of the world and the true nature of reality. Regarding the world, it states that the world is not true, it is only thought, and everything in it, including the body, is nothing. Regarding reality, it describes reality as limitless, omnipresent, and without duality. It is always there but difficult to understand with the mind. The document also discusses how the world is like a dream created by "I", the dreamer, but "I" itself does not truly exist.
2011 GIS in Transit - Cell Phones and GIS - Lessons Learned from Developing T...Sean Barbeau
Discussion of various lessons learned while developing the first real-time public transit navigation app to help transit riders with intellectual disabilities.
2009 Sprint Developers Conference - Location Based Services - Best Practices ...Sean Barbeau
Discussion of various aspects of mobile app development surrounding location-based services, including intelligent use of GPS to conserve battery life and reducing network data transfer.
The many-uses-of-gtfs-data-–-its-america-submission-abbreviatedCTeixeira2
The General Transit Feed Specification, or GTFS, has become the most popular world-wide data
format to describe fixed-route transit services. Many transit agencies have created and published
GTFS data with the primary purpose being integration with Google Maps. However, GTFS data
can power many other different types of transit and multimodal software applications, including
multimodal trip planning, timetable creation, mobile apps, visualization, accessibility, analysis
tools for planning, real-time information, and interactive voice response (IVR). This paper
provides an overview of the many opportunities available for transit and intermodal agencies to
leverage open GTFS data and provide many new types of information services to the public or
their internal operations with little to no cost to the agency. For transit agencies without open
data, this paper will inform decisions on prioritizing and justifying investments in open data
initiatives. For agencies that already provide open access to GTFS data, this paper will assist the
agency in maximizing their investment in GTFS data by providing resources on how to access
many new types of applications. Departments of Transportation, Metropolitan Planning
Organizations, and other intermodal agencies will also benefit from this paper by learning the
state of the art in transit information dissemination, which can power new state-of-the-art
intermodal applications. This paper also provides a summary of industry best-practices that an agency can follow when deciding to create and share an open GTFS data feed to maximize exposure to new applications.
OpenDataWeek Marseille 2013 : Andrew Byrd -- The General Transit Feed Specifi...Fing
The General Transit Feed Specification (GTFS) is an open specification for public transportation schedules and associated geographic information that allows for easy exchange of transit data between different systems. It originated in 2005 when TriMet in Portland, Oregon published their transit data in simple text file format for use in Google trip planning tools. GTFS has since been widely adopted for transit data sharing in the United States and parts of Europe due to its simplicity compared to larger XML specifications. The GTFS format continues to evolve through a collaborative review process to add only backward-compatible improvements that address real use cases.
Open Transit Data - A Developer's PerspectiveSean Barbeau
I gave this presentation as part of an N-CATT webinar on "Open Source Software and Open Data". It discusses open transit data, with a focus on rural and demand response transit agencies and topics to watch as of May 2020. The full webinar is available at https://n-catt.org/tech-university/webinar-open-source-software-and-open-data/.
Open trip planner status update may 2011bibianamchugh
This document discusses the benefits of open data and open source software in transportation planning. It summarizes the launch and adoption of Google Transit in cities worldwide using the General Transit Feed Specification. It also describes how open data from TriMet in Portland led to the development of third party apps and how the city resolved to open data. It discusses open source trip planners like Open Trip Planner that were developed for Portland using open data and an open development process.
ITS World Congress 2014 - Open Data in Public Transport: Challenges and Oppor...Sean Barbeau
The document discusses the importance of open transit data for app developers. It advocates that transit agencies should share general transit feed specification (GTFS) data openly to encourage third-party development of transit apps. It provides best practices for agencies to be developer-friendly, such as maintaining documentation, terms of use, and hosting developer forums. It also notes that open-source trip planning tools can help smaller agencies provide transit information when commercial app development is limited.
APTA TransITech 2013 - "Open Transit Data - A Developers Perspective"Sean Barbeau
A discussion of the different types of transit data and mobile application developer's perspective on open data and transit data formats. For the raw Powerpoint with animations, see http://bit.ly/TransITech-Open-Transit-Data.
Federal legislation requires transportation organizations to consider land use impacts of transportation plans. Researchers examined different land use modeling methods and applied several to the Waco, Texas region. They developed a new open-source gravity-based land use model called G-LUM and compared it to other models using Waco and Austin data under various scenarios. Researchers concluded most transportation organizations could benefit from straightforward land use tools, as existing models have documentation and usability issues.
Delivering Application-Layer Traffic Optimization (ALTO) Services based on ...Danny Alex Lachos Perez
Application-Layer Traffic Optimization (ALTO) is an IETF standardized protocol that provides abstract network topology and cost maps in addition to endpoint information services that can be consumed by applications in order to become network-aware and take optimized decisions regarding traffic flows. In this work, we propose a public service based on the ALTO specification using public routing information available at the Brazilian Internet eXchange Points (IXPs). Our ALTO server prototype takes the acronym of AaaS (ALTO-as-a-Service) and is based on over 2.5GB of real BGP data from the 25 Brazilian IX.br public IXPs. We evaluate our proposal in terms of functional behaviour and performance via proof of concept experiments which point to the potential benefits of applications being able to take smart endpoint selection decisions when consuming the developer-friendly ALTO APIs.
PSU Friday Transportation Seminar 10/4/2013, featuring Michael Mauch of DKS Associates: Real-world traffic trends observed in PORTAL and INRIX traffic data are used to expand the performance measures that can be obtained from Portland Metro's travel demand model to include the number of hours of congestion that can be expected during a typical weekday and travel time reliability measures for congested freeway corridors.
A Computational Study Of Traffic Assignment AlgorithmsNicole Adams
The document summarizes a study comparing algorithms for solving traffic assignment problems. It classified algorithms as link-based (using link flows), path-based (using path flows), or origin-based (using link flows from origins). It reviewed literature on algorithms like Frank-Wolfe (link-based), path equilibration (path-based), and origin-based algorithm. It chose to implement representative algorithms from each class: Frank-Wolfe, conjugate Frank-Wolfe, bi-conjugate Frank-Wolfe (link-based), path equilibration, gradient projection, projected gradient, improved social pressure (path-based), and Algorithm B (origin-based) to compare their performance on benchmark problems.
A Computational Study Of Traffic Assignment AlgorithmsAlicia Buske
This document summarizes a research study that compares different algorithms for solving traffic assignment problems. The study performs a literature review of prominent traffic assignment algorithms, classifying them based on how the solution is represented (link-based, path-based, origin-based). It then implements representative algorithms from each class and conducts computational tests on benchmark networks of varying sizes. The results are analyzed to compare algorithm performance and identify the impact of different algorithm components on running time.
This document proposes a prototype for archiving and mining ITS data using UML, XML, and object-oriented database design. The prototype aims to address issues with existing methods for data archiving, mining, sharing and ensuring accuracy. It will be tested through surveys of transportation professionals to determine if the prototype improves upon current practices. Chi-square analysis will be used to analyze the survey results and test hypotheses about the prototype.
The Design of a Simulation for the Modeling and Analysis of Public Transporta...CSCJournals
Vehicular ad-hoc networks, when combined with wireless sensor networks, are used in a variety of solutions for commercial, urban, and metropolitan areas, including emergency response, traffic, and environmental monitoring. In this work, we model buses in the Washington, DC Metropolitan Area Transit Authority (WMATA) as a network of vehicular nodes equipped with wireless sensors. A simulation tool was developed, using the actual WMATA schedule, to determine performance metrics such as end-to-end packet delivery delay. In addition, a web-based front-end was developed, using the Google Maps API, to provide a user-friendly display and control of the network map, input parameters, and simulated results. This application will provide users with a simplified method for modifying network parameters to account for a number of parameters and conditions, including inclement weather, traffic congestion, and more.
The document discusses the Transportation for the Nation Strategic Plan Update project. It provides an overview of stakeholder outreach conducted to date which indicates strong support for creating a nationwide transportation dataset. A potential vision is a baseline geometry dataset with additional "special sauce" content added by stakeholders. Challenges include varying data quality and readiness between states. Lessons learned point to activating local partners and public-private partnerships as effective models. Potential benefits include improved safety mapping and data sharing across agencies. Open discussion questions focus on benefits to states and the relationship between state DOTs and GIS programs.
The document discusses the Transportation for the Nation Strategic Plan Update project. It provides an overview of stakeholder outreach conducted to date which indicates strong support for creating a nationwide transportation dataset. A potential vision is outlined where a baseline geometry dataset containing basic road attributes could be established using an expanded Highway Performance Monitoring System (HPMS) reporting requirement. Individual stakeholders could then add "special sauce" enhancements to the baseline data. Challenges include varying data quality between states and coordinating a nationwide effort. Benefits to different stakeholders are discussed, including improved safety mapping and data sharing capabilities.
Innovative Approaches for the collection of road transport statisticsParadigma Consulting
By extracting data from Enterprise Resource Planning (ERP) and Transport Management (TM) systems, particularly larger companies can easily generate data for official reporting obligation and directly transfer it to the National Statistical Institution (NSI).
This document describes a prototype application that predicts a user's travel routes based on their travel history in order to provide customized traffic advisories. It uses machine learning techniques to identify important locations from GPS and other sensor data. Routes between locations are learned from GPS data sequences and frequent routes are identified. When the user is predicted to leave a location, the application checks for traffic along likely routes and issues alerts if congestion exceeds normal levels for that route and time. A field study evaluated user acceptance of the advisories delivered by the application during transitions between locations.
VEHICULAR 2020 Presentation by Kohei HosonoKohei Hosono
Title:
Implementation and Evaluation of Priority Processing by Controlling Transmission Interval Considering Traffic Environment in a Dynamic Map
Author:
Kohei Hosono, Akihiko Maki, Yoichi Watanabe, Hiroaki Takada, Kenya Sato
Affiliation:
Computer and Information Science, Graduate School of Science and Engineering, Doshisha University
Fujitsu Limited
Institutes of Innovation for Future Society, Nagoya University
Mobility Research Center, Doshisha University
Conference:
The Ninth International Conference on Advances in Vehicular Systems, Technologies and Applications VEHICULAR 2020
Abstract:
Much attention has been attracted to the research of cooperative automatic driving that focuses on safety and efficiency by sharing the data obtained from sensor information of a vehicle. In addition, dynamic maps, a common information and communication platform for the integrated management of shared sensor information, are under consideration. A vehicle always sends data to a server that manages the dynamic map, and the server runs applications for driving support and control on the basis of the data, so fast information processing is required. However, congestion is a concern when data is continuously sent from vehicles to the server at high transmission intervals and when many vehicles are managed by dynamic maps on the server. In addition, the data transmission interval from the vehicle required by the road characteristics differs in actual traffic environments. Therefore, congestion can be alleviated by adjusting the transmission interval of data from the vehicle in consideration of road characteristics. In this paper, a platform for a dynamic map consisting of a server and a vehicle is constructed. We have also implemented a priority processing function that sets the priority for each section of a lane, and adjusts the transmission interval on the basis of the characteristics of the road around the vehicle.
Predicting Operating Train Delays into New York City using Random Forest Regr...AI Publications
The Long Island Railroad operates one of the largest commuter rail networks in the U.S.[1]. This study uses data which includes the location and arrival time of trains based on onboard GPS position and other internal sources. This paper analyzes the GPS position of the train to gain insight into potential gaps in on time performance and train operations. This was done by developing a Random Forest Re-gression model [2] and an XGBoost regression model [3[. Both models prove to be useful to make such predictions and should be used to help railroads to prepare and adjust their operations.
Similar to 2011 ITS World Congress - GO-Sync - A Framework to Synchronize Transit Agency Datasets with Online Communities (20)
Summary by Sean Barbeau of the executive summary of the Smart Columbus USDOT Smart Cities Challenge (https://d2rfd3nxvhnf29.cloudfront.net/inline-files/Smart%20City%20Challenge-%20USDOT%20Executive%20Summary.pdf) released June 2021.
Open Source Software in Public Transportation: A Case StudySean Barbeau
Open-source software projects like OneBusAway, OpenTripPlanner, and TheTransitClock provide real-time transit information and trip planning for public transportation agencies. They have been deployed in over a dozen cities worldwide and are governed through open-source foundations to encourage collaboration and long-term support. Transitioning to these open-source solutions can help agencies avoid rising costs of proprietary software and reduce risks of vendor lock-in.
Open Source Software in Public Transportation: A Case Study - TRB posterSean Barbeau
TRB 2020 poster presentation of the TRB paper "Open Source Software in Public Transportation: A Case Study", available at http://bit.ly/trb-open-transit-software.
This document summarizes a research project that implemented an Android activity tracking API in the OneBusAway transit app to automatically collect multimodal travel behavior data from opt-in users. Over 10 weeks, data was collected from 74 enrolled users which captured activity types, locations, and trips. The project aims to improve the quality and cost-effectiveness of travel data collection.
Improving the quality and cost effectiveness of multimodal travel behavior da...Sean Barbeau
Multimodal transportation such as transit, bike, walk, transportation network companies (TNCs) (e.g., Uber, Lyft), car share, and bike share are vital to supporting livable communities. However, current data collection techniques for multimodal travel behavior, including apps built specifically for travel behavior surveys, have limitations (e.g., significant negative impact on battery life, user acquisition) which prevent a better understanding of significant real-world challenges (e.g., multimodal traveler choices, relationships between travel behavior and health).
This webinar discusses the results of a recently completed research project funded by the National Center for Transit Research, “Improving the Quality and Cost Effectiveness of Multimodal Travel Behavior Data Collection”. In this project, the research team developed and deployed a proof-of-concept system to collect multimodal travel behavior data on an ongoing basis directly from users of a popular open-source mobile app for multi-modal information, OneBusAway (OBA). To overcome battery life challenges, the research team used the Android Activity Transition API, which leverages hardware advancements in modern mobile phones.
This webinar presents the technology used to implement this data collection tool, as well as the results of a pilot deployment to 676 beta testing users. Over 10 weeks, 74 users opted into the study without any incentive and contributed 65,582 trips. Key concerns discussed for data collection when conserving battery life include the timeliness and accuracy of data.
A webinar recording of this presentation can be found here:
https://www.cutr.usf.edu/2020/04/cutr-webinar-improving-the-quality-and-cost-effectiveness-of-multimodal/
The final report for this project can be downloaded at:
https://scholarcommons.usf.edu/cutr_nctr/13/
TRB 2020 - Cybersecurity Vulnerabilities in Mobile Fare Payment Applications:...Sean Barbeau
Presentation of a TRB 2020 paper (available at http://bit.ly/trb-cyber-mobile-fare-app):
Mobile fare payment applications are becoming increasingly commonplace in the public transportation industry as both a customer convenience and an effort to reduce fare management costs and improve operations for agencies. However, there is relatively little literature on vulnerabilities and liabilities in mobile fare payment applications. Furthermore, few public agencies or supporting vendors have policies or established processes in place to receive vulnerability reports or patch vulnerabilities discovered in their technologies. Given the rapidly increasing number of data breaches in general industry IT systems, as well as the fact that mobile fare payment apps are a nexus between customer and agency financial information, the security of these mobile applications deserve further scrutiny. This paper presents a vulnerability discovered in a mobile fare payment application deployed at a transit agency in Florida that, due to the system architecture, may have affected customers in as many as 40 cities across the United States – an estimated 1,554,000 users. Lessons learned from the vulnerability disclosure process followed by the research team as well as recommendations for public agencies seeking to improve the security of these types of applications are also discussed.
2019 FPTA - Enhancing Cybersecurity in Public TransportationSean Barbeau
A presentation given at the 2019 Florida Public Transportation Association (FPTA) Annual Conference on a project "Enhancing Cybersecurity in Public Transportation", funded by the Florida Department of Transportation (FDOT) and National Center for Transit Research (NCTR).
Enhancing Cybersecurity in Public TransportationSean Barbeau
The document discusses a research project that aims to improve cybersecurity for public transportation systems in Florida by identifying vulnerabilities, facilitating information sharing between agencies and researchers, and making policy recommendations. A survey of Florida agencies found that while technologies like Wi-Fi and mobile apps are widely used, many agencies reported a lack of employee training and funding as barriers to better security practices. The researchers also discovered a vulnerability in a fare payment app that exposed personal information.
A presentation on the current state of open-source software for real-time multimodal information in the public transit industry. Presented at the 2019 OneBusAway & OpenTripPlanner Annual Meeting, Washington, D.C., January 14, 2019.
Launching fare payment integration into the OneBusAway open-source mobile apps (https://onebusaway.org/) for real-time transit information (August 2018)
Transit agencies are increasingly using open-source software such as OneBusAway (http://onebusaway.org/), OpenTripPlanner (http://www.opentripplanner.org/), and TheTransitClock (https://thetransitclock.github.io/) to creating real-time information systems. This presentations discusses these projects and shows how they can all work together.
A brief presentation of what's new in GTFS-realtime v2.0. For more details, see the blog post at https://medium.com/@sjbarbeau/whats-new-in-gtfs-realtime-v2-0-cd45e6a861e9.
NTI 2017 Workshop - Many Uses of GTFS DataSean Barbeau
GTFS data has enabled many different types of multimodal applications. This presentation, which was presented at the 2017 NTI Workshop, discussing the creation, maintenance, and application of GTFS data.
2017 SeeClickFix Workshop - Closing the Loop - Improving Transit through Crow...Sean Barbeau
This presentation describes a pilot project that improved the OneBusAway mobile transit apps to be able to submit user feedback to agencies using the standardized Open311 specification. As of this presentation (late February 2017), these changes are being piloted in the Tampa Bay area along with the SeeClickFix issue management platform by Hillsborough Area Regional Transit and Pinellas Suncoast Transit Authority.
The USF Maps App was created to help students, staff, and visitors navigate the University of South Florida campus using multiple transportation options. It provides features like showing building locations, trip planning between buildings for various modes including walking, biking, public transit, and real-time transportation information. The app was developed by USF students using open-source software and open data. Since its soft launch in late 2016, thousands of users have utilized the app's trip planning and campus navigation capabilities.
Opening the Door to Multimodal Applications - Creation, Maintenance, and Appl...Sean Barbeau
Full 2017 TRB paper at http://bit.ly/TRB2017-GTFS.
The General Transit Feed Specification (GTFS) describes fixed-route public transportation service to facilitate integration of transit information into various applications. The purpose of this report is to provide an overview of the opportunities to use GTFS for many different types of information services for the general public as well as internal agency operations. Many opportunities exist to create new services based on GTFS data — either to provide transit information through a greater range of delivery formats (e.g., new mobile transit applications), or to provide new ways of understanding and using transit information (e.g., for planning and analysis purposes).
For transit agencies that are not openly sharing their data, this report will inform decisions on prioritizing and justifying investments in open data initiatives surrounding GTFS.
For transit agencies that already provide open access to their GTFS data, this report will assist the agency in maximizing their investment in GTFS data by showcasing examples of many new types of applications that utilize the same GTFS data they are already producing.
For Departments of Transportation, Metropolitan Planning Organizations, and other intermodal agencies, this report will assist them in understanding the current state-of-the-art in public transportation information and will help them integrate this data into intelligent transportation systems (ITS) and multimodal traveler information systems.
OneBusAway - New issue reporting flow in OneBusAway AndroidSean Barbeau
This presentation was created as an orientation to Hillsborough Area Regional Transit (HART) staff for how issues can now be reported via hte OneBusAway Android app, including management of issues related to stops and arrival times via the SeeClickFix issue management site (via Open311).
Closing the Loop - Improving Transit through Crowd-sourced InformationSean Barbeau
Offering real-time arrival information to riders via mobile applications has been shown to improve the rider’s perception of transit, and even increase ridership. This direct connection to riders also offers the agency an opportunity to collect feedback on how transit service and infrastructure can be improved. However, managing the sheer volume of this rider feedback can be very challenging, especially when various departments and agencies (e.g., city/county government) are involved (e.g., does this broken bench belong to the transit agency or the county?). This presentation discusses a pilot project in Tampa, FL, funded by the Florida Department of Transportation and the National Center for Transit Research, which focused on the improvement of the feedback loop from riders back to transit agencies, local government, and departments of transportation. This project made improvements to the OneBusAway mobile app, originally deployed in Tampa in 2013, to include support for the Open311 standard (http://www.open311.org/) for issue reporting. Open311 support gives agencies the option of selecting a hosted issue management solution that supports Open311 such as SeeClickFix.com and PublicStuff.com, or the option to utilize existing open-source Open311-compliant software.
See the recorded webcast at http://www.cutr.usf.edu/2016/07/cutr-webcast-improving-transit-through-crowdsourced-information/.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
2011 ITS World Congress - GO-Sync - A Framework to Synchronize Transit Agency Datasets with Online Communities
1. GO-SYNC
A FRAMEWORK TO SYNCHRONIZE TRANSIT
AGENCY DATASETS WITH ONLINE COMMUNITIES
Khoa Tran, Ed Hillsman, Sean Barbeau, Miguel Labrador
ktran9@mail.usf.edu, hillsman@cutr.usf.edu, barbeau@cutr.usf.edu,
mlabrador@usf.edu
Department of Computer Science and Engineering &
Center for Urban Transportation Research
University of South Florida
http://code.google.com/p/gtfs-osm-sync/
Open-Source on:
2. GO-SYNC MOTIVATION & CHALLENGES
• Shortcomings of official transit General Transit Feed Spec. (GTFS)
datasets
• Lack of transit data in OpenStreetMap (OSM) for many U.S. cities
• Goal – create an open-source software tool that can:
– Share transit agency data with OSM community
– Leverage social mapping model to improve bus stop inventory,
and allow agency to retrieve these improvements
MOTIVATIO
N
CHALLENGE
S
• Lack of a strict tagging system in OSM
• Avoid duplicating OSM data & respect work done by other users
• Ongoing updates to GTFS (and OSM) data
• Integration of crowd-sourced data into transit agency internal
datasets
3. GTFSOSM(GO)-SYNC FRAMEWORK DESIGN
1. Determine what has already been mapped in the OSM in the area
covered by the GTFS data.
2. Identify bus stops that may be in conflict between OSM and an agency’s
GTFS data
3. Make decisions on how to manage conflicts, with the aid of user input.
4. Upload GTFS data into OSM, managing any conflicts that the agency
cannot reconcile.
1) Input GTFS data and Agency Info 2) Analyze before Upload
4. EVALUATION IN TAMPA & COLLABORATION
•July 2010 - 3,812 new
HART stops uploaded (133
stops previously existed)
•Jan. 2011 -173
modifications were made
RETRIEVING IMPROVEMENTS TO TRANSIT
AGENCY
EVALUATIO
N
1. Output as a GTFS file, using GTFS-defined fields when possible
2. Additional “OSM_TAGs” field name is inserted at the end of the row
3. Additional tags from OSM (i.e. “key=value”) are separated by “|”
(i.e., pipe-delimited)
Example: stop_id,stop_name,stop_lat,stop_lon, OSM_TAGs
881,Fletcher Av @ Livingston Av,28.0693,-82.4272, shade=no|ntd_id=4041
|shelter=no|bench=no| note=field checked after
upload
5. QUESTIONS?
Sean J. Barbeau, M.S. Comp.Sci.
Research Associate
Center for Urban Transportation Research
University of South Florida
http://locationaware.usf.edu
813.974.7208
barbeau@cutr.usf.edu
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6. QUESTIONS?
Sean J. Barbeau, M.S. Comp.Sci.
Research Associate
Center for Urban Transportation Research
University of South Florida
http://locationaware.usf.edu
813.974.7208
barbeau@cutr.usf.edu
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