Méthodologie du Projet de cartographie du Transport Public Bamako ( SOTRAMA), un projet financé par la Banque Mondiale et piloté par Billet Express Mali.
Adaptive Traffic Sampling and Management PlatformAmir Krifa
The document describes an adaptive traffic sampling and management platform that aims to:
1) Provide an emulation platform for network-wide traffic sampling and monitoring that allows users to control experiments by tuning parameters like traffic sources, network topology, and sampling rates.
2) Enable experiments to be easily reproduced.
3) Allow developed solutions to be tested in real environments.
4) Be extensible and scale to large scenarios by changing sampling algorithms or adding advanced monitoring methods.
Using sensors in OEM-cars for detecting and updating infrastructure and geographical information for speed maps, sustainability and self-driving cars (HD Maps).
Integrated Transport Mgmt. _ Route Planning PlatformPrashant Khopkar
This document describes an integrated transport management and route planning platform called TRAFFLINE. The platform uses an optimization-based transit routing engine (OTP) and APIs to help travelers plan multi-modal trips across Mumbai. It allows agencies to manage transit data, supports mobile apps for end users, and has capabilities like quickest routing, minimum transfers, and real-time traffic integration. Future enhancements may include previous/next trip information, location search, and real-time vehicle tracking.
The document summarizes the results of a traffic survey conducted by a student group. It includes:
1) The objectives of studying vehicle composition, traffic stream properties, and directional distribution.
2) Findings from the survey such as the predominant vehicle type being personal vehicles and the directional distribution showing more traffic from Panthapath to Russell Square.
3) Limitations of the study related to resources and time constraints.
Adaptive Traffic Sampling and Management PlatformAmir Krifa
The document describes an adaptive traffic sampling and management platform that aims to:
1) Provide an emulation platform for network-wide traffic sampling and monitoring that allows users to control experiments by tuning parameters like traffic sources, network topology, and sampling rates.
2) Enable experiments to be easily reproduced.
3) Allow developed solutions to be tested in real environments.
4) Be extensible and scale to large scenarios by changing sampling algorithms or adding advanced monitoring methods.
Using sensors in OEM-cars for detecting and updating infrastructure and geographical information for speed maps, sustainability and self-driving cars (HD Maps).
Integrated Transport Mgmt. _ Route Planning PlatformPrashant Khopkar
This document describes an integrated transport management and route planning platform called TRAFFLINE. The platform uses an optimization-based transit routing engine (OTP) and APIs to help travelers plan multi-modal trips across Mumbai. It allows agencies to manage transit data, supports mobile apps for end users, and has capabilities like quickest routing, minimum transfers, and real-time traffic integration. Future enhancements may include previous/next trip information, location search, and real-time vehicle tracking.
The document summarizes the results of a traffic survey conducted by a student group. It includes:
1) The objectives of studying vehicle composition, traffic stream properties, and directional distribution.
2) Findings from the survey such as the predominant vehicle type being personal vehicles and the directional distribution showing more traffic from Panthapath to Russell Square.
3) Limitations of the study related to resources and time constraints.
Transport-as-a-Service (TaaS) - How we build next generation plug-and-play IT...Christoffer Vig
The digitalization of everyday life, where the average bus passenger would rather ignore the surroundings and stare blankly into his phone for snapchat updates, creates great opportunities for digitalization of public transport, as well as some challenges. Ruter, Norway’s largest public transport authority, is putting significant effort into improving digital services for customers. However, the current technology stack behind Ruter's operations, is not able to provide the necessary real-time information.
In this talk I will explain how Ruter is participating in the development of new European standards for information technology for public transport (ITxPT), and how Apache Kafka and Kafka streams serve as the core components in building "Transport-as-a-Service".
Presented at Berlin Buzzwords 2018 https://berlinbuzzwords.de/18/session/transport-service-taas-how-we-build-next-generation-plug-and-play-it-systems-public
The document describes the Traffic Shaper project, which aims to develop a mobile application to optimize traffic routing in real-time. Funded by the EU, it collects data from various sources to suggest alternative routes to users based on traffic conditions. The application and back-end system architecture are presented, including data collection, route calculation algorithms, APIs, and interfaces for users and administrators. Current work involves finalizing the routing methodology, integrating pollution data, and completing the mobile app.
T drive enhancing driving directions with taxi drivers’ intelligenceJPINFOTECH JAYAPRAKASH
This paper presents a smart driving direction system that leverages taxi driver intelligence. It models traffic patterns and driver routes using a time-dependent landmark graph constructed from taxi trajectory data. It then designs a two-stage routing algorithm to provide users with the fastest route based on departure time, starting point, and destination. Evaluation shows the system's routes are 60-70% faster than competitors and 50% are at least 20% faster on average.
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.
Bransys is a Macedonian company that designs, develops, and sells computer software and services. They aim to understand their clients' needs and offer complete solutions. Their GPS tracking software allows users to track vehicle locations in real-time, view historical data, monitor speed and idling, and generate various reports on mileage, fuel usage, and maintenance. The software can also integrate with other systems like scales, temperature sensors, and RFID card readers for applications like coal transport monitoring.
This document proposes a technique to estimate the least congested route from a source to destination in an urban road network using GPS-equipped vehicles. The concept involves base stations that receive location coordinates from vehicles' GPS systems and update them in a database. This information can then be used to estimate traffic speeds on roads and assign status codes to vehicles in the database. When a driver enters a source and destination, servers attached to relevant base stations communicate to estimate the traffic conditions on possible routes and identify the least congested route, which is then displayed to the driver. The proposed algorithm and system architecture are described, and initial results from testing with sample map and vehicle data are presented.
An information system for tum tums presentation-2Aditya Gupta
This document presents an initial design proposal for a real-time tum-tum tracking system. It outlines problems with the current lack of tum-tum schedule and location information. The proposed system would use GPS or RFID to track tum-tums in real-time, storing data on a central server. Users could then access estimated tum-tum arrival times and locations through SMS, a web interface, or mobile app. The document compares GPS and RFID tracking methods and concludes with an overview of the system design.
MOBIWORK is a hardware and software platform that offers integrated solutions for transport planning and vehicle monitoring. It allows companies to strategically plan trips and routes in advance, monitor vehicle locations and sensor data in real-time, and analyze downloaded data to produce reports and optimize operations. The system installs monitoring devices on vehicles that track location and sensor information, and a web application allows users to view vehicle positions and statuses. It also includes a planning system that optimizes delivery routes and schedules based on orders, costs, and other factors.
'Geo-spatial analysis' covers a wide range of analytical techniques which are used in identifying the patterns in Spatial data. Spatial data provides the better understanding of the problem and also in decision making. In order to explore a Geo spatial phenomena we have to categorize the problem and it is done by the better understanding how the data can be expressed for a feature. High population growth rates have posed new traffic management challenges in the urban areas. We are evaluating how Geo-spatial techniques are utilized in Road traffic analysis by visualizing the traffic congestion areas.
The document discusses a low-cost Bluetooth monitoring system for analyzing traffic flows. Bluetooth signals from vehicles are captured by roadside sensors to identify traffic patterns. Data on vehicle IDs, timestamps and locations are stored and used to derive information like travel times, speeds and origin-destination matrices. The system provides traffic data for management and planning while protecting privacy. Fixed sensors deployed in various cities collect long-term data, while mobile sensors allow short-term intensive monitoring.
i-TINS is an integrated travel information and navigation system that provides real-time multi-modal transportation data to residents and visitors of Abu Dhabi through a mobile app, website, and vehicle navigation systems. It collects data from various sources and provides traffic conditions, public transit arrival times, parking availability and other information to help travelers plan and monitor their journeys. The Darb mobile app was developed to deliver this live transportation data and additional trip planning services to users.
APAS is a software service that generates predicted arrival times for package deliveries based on telemetry data from carriers and other resources. It uses GPS data, delivery activities, distances, and predictive heuristics to calculate arrival times with different confidence levels. The service has an architecture that includes collecting and processing telemetry data via data flows, managing carrier routes and stops, and providing predictions to end users through an analysis filter service.
SC4 Workshop 2: Josep Maria Salanova - Pilot in ThessalonikiBigData_Europe
The document describes a big data transport pilot project in Thessaloniki, Greece. The project utilizes several sources of probe data including static Bluetooth sensors, a fleet of over 1,200 taxis and buses that provide real-time location data, and social media check-ins. This data is used to estimate traffic conditions, travel times, mobility patterns and more. The pilot aims to test processing techniques like travel time estimation, traffic prediction, and data expansion. Lessons learned from the first phase will be applied to improve the algorithms and integrate additional data sources in future pilots.
Solution to the Traffic Problem
Pune Traffic Police department requires a modern framework to manage the growing traffic and the growing boundaries of the city. They also have a requirement to digitize records and administration of fines in order to prevent corruption. They are keen to involve citizens to backfill the shortage of police staff. The project calls for a total redesign of their technology and tools from scratch.
The proposed technology should enable development of light-weight applications like the following. You are welcome to imagine additional use cases and propose solutions.
1. Online Traffic Signal Management
a. Enable Police Control Room to monitor traffic patterns and control traffic signals in real time
b. Enable emergency vehicles to override signals for rapid passage
2. Curb Corruption
a. Develop an audio-visual tool to capture officer’s interactions with offenders
3. Instafine
a. Police can take pictures of traffic violations
b. They can select the category and severity of violation, and submit immediately
c. Information about fines can be dispatched by post, email, Whatsapp, SMS, etc.
4. Citizen Police
a. Citizens can take pictures of traffic violations and submit to the Control Room
b. Control Room processes the complaints and sends fines to offenders
Speed and Position Control of Train Sytem Using GPSIOSR Journals
This document summarizes a system for controlling the speed and position of a train using GPS. The system includes modules on the train and at a railway control board (RBC) section. On the train, GPS is used to determine the current position and speed, which is sent to the RBC via Zigbee wireless transmission. At the RBC, the train's position and speed are displayed. The system can also automatically control the speed of the train and activate level crossing gates based on the train's position. The goal is to help avoid accidents by monitoring the train's location and speed in real-time.
Speed and Position Control of Train Sytem Using GPS IOSR Journals
The passengers face some problems regarding the arrival time of the train and they go on asking the
ticket checkers about the arrival. This creates trouble to the ticket checker to keep answering thousands of
passengers who are boarding the train. The GPS (Global Positioning System) gives the position of any object on
which it as placed with respect to the latitude and longitude of the earth. This technique would be helpful in tracking
the exact location of the train and as well the speed of the moving object. Some of the human activities causing
accidents include railway level crossing during the approach of train, misplaced fish plates and high speed at places
where speed should actually be less. So the system designed here which is called as ATCS (Advanced train control system) helps in reducing the accidents to an extent.
A survey on real time bus monitoring systemIRJET Journal
This document summarizes several techniques for real-time bus monitoring systems:
1) WiLocator uses surrounding WiFi access points to track and predict bus arrival times but relies on unstable WiFi signals.
2) EasyTracker requires transit agencies to install apps on smartphones in each bus but produces accurate route maps and schedules.
3) A GPS-GSM system tracks bus locations on Google Maps via a web application but requires users to open two apps.
4) An adaptive vehicle tracking methodology processes user requests for bus locations via SMS and collects bus information using mobile phones installed on each bus.
This document proposes an automated toll gate system that uses RFID tags and readers to track vehicles and automatically manage toll payments. The system would identify approaching vehicles, record their details from the RFID tag like owner name and vehicle information, and open the toll gate if the vehicle is authorized, deducting the toll from the associated account. This system aims to improve traffic management and monitoring of vehicles on roads by automating the toll process and recording travel details.
Neural Network Based Parking via Google Map GuidanceIJERA Editor
This document describes an intelligent parking guidance system that uses neural networks and algorithms to predict travel times between locations and allocate parking spaces. It consists of an Intelligent Trip Modeling System (ITMS) that uses a Speed Prediction Neural Network System (SPNNS) and Dynamic Traversing Speed Profile (DTSP) algorithm to accurately predict traffic speed and travel times. The system also includes an intelligent parking guidance component that provides information on nearby parking availability and allows users to reserve spaces based on their predicted time of arrival. The overall goal is to help drivers efficiently find parking by predicting travel times and allocating spaces in advance.
Yemen is experiencing rapid urbanization and population growth, increasing transportation demands. The traditional traffic system relies on traffic police and paper maps, causing terrible congestion problems. To address this, intelligent transportation systems (ITS) are needed to reduce traffic jams, detect accidents, and guide travelers using sensors on roads and vehicles. ITS involves monitoring real-time traffic conditions through collected data, which is sent to traffic management centers (TMC) that store data and control infrastructure like traffic lights to manage traffic flow.
Data Transport, is a non-profit organization that works to improve African
mobility through transit Data.
#TransitMapping #DataPortal #Standardization GTFS+ #DataViz #API
We have started in 2017
Transport-as-a-Service (TaaS) - How we build next generation plug-and-play IT...Christoffer Vig
The digitalization of everyday life, where the average bus passenger would rather ignore the surroundings and stare blankly into his phone for snapchat updates, creates great opportunities for digitalization of public transport, as well as some challenges. Ruter, Norway’s largest public transport authority, is putting significant effort into improving digital services for customers. However, the current technology stack behind Ruter's operations, is not able to provide the necessary real-time information.
In this talk I will explain how Ruter is participating in the development of new European standards for information technology for public transport (ITxPT), and how Apache Kafka and Kafka streams serve as the core components in building "Transport-as-a-Service".
Presented at Berlin Buzzwords 2018 https://berlinbuzzwords.de/18/session/transport-service-taas-how-we-build-next-generation-plug-and-play-it-systems-public
The document describes the Traffic Shaper project, which aims to develop a mobile application to optimize traffic routing in real-time. Funded by the EU, it collects data from various sources to suggest alternative routes to users based on traffic conditions. The application and back-end system architecture are presented, including data collection, route calculation algorithms, APIs, and interfaces for users and administrators. Current work involves finalizing the routing methodology, integrating pollution data, and completing the mobile app.
T drive enhancing driving directions with taxi drivers’ intelligenceJPINFOTECH JAYAPRAKASH
This paper presents a smart driving direction system that leverages taxi driver intelligence. It models traffic patterns and driver routes using a time-dependent landmark graph constructed from taxi trajectory data. It then designs a two-stage routing algorithm to provide users with the fastest route based on departure time, starting point, and destination. Evaluation shows the system's routes are 60-70% faster than competitors and 50% are at least 20% faster on average.
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.
Bransys is a Macedonian company that designs, develops, and sells computer software and services. They aim to understand their clients' needs and offer complete solutions. Their GPS tracking software allows users to track vehicle locations in real-time, view historical data, monitor speed and idling, and generate various reports on mileage, fuel usage, and maintenance. The software can also integrate with other systems like scales, temperature sensors, and RFID card readers for applications like coal transport monitoring.
This document proposes a technique to estimate the least congested route from a source to destination in an urban road network using GPS-equipped vehicles. The concept involves base stations that receive location coordinates from vehicles' GPS systems and update them in a database. This information can then be used to estimate traffic speeds on roads and assign status codes to vehicles in the database. When a driver enters a source and destination, servers attached to relevant base stations communicate to estimate the traffic conditions on possible routes and identify the least congested route, which is then displayed to the driver. The proposed algorithm and system architecture are described, and initial results from testing with sample map and vehicle data are presented.
An information system for tum tums presentation-2Aditya Gupta
This document presents an initial design proposal for a real-time tum-tum tracking system. It outlines problems with the current lack of tum-tum schedule and location information. The proposed system would use GPS or RFID to track tum-tums in real-time, storing data on a central server. Users could then access estimated tum-tum arrival times and locations through SMS, a web interface, or mobile app. The document compares GPS and RFID tracking methods and concludes with an overview of the system design.
MOBIWORK is a hardware and software platform that offers integrated solutions for transport planning and vehicle monitoring. It allows companies to strategically plan trips and routes in advance, monitor vehicle locations and sensor data in real-time, and analyze downloaded data to produce reports and optimize operations. The system installs monitoring devices on vehicles that track location and sensor information, and a web application allows users to view vehicle positions and statuses. It also includes a planning system that optimizes delivery routes and schedules based on orders, costs, and other factors.
'Geo-spatial analysis' covers a wide range of analytical techniques which are used in identifying the patterns in Spatial data. Spatial data provides the better understanding of the problem and also in decision making. In order to explore a Geo spatial phenomena we have to categorize the problem and it is done by the better understanding how the data can be expressed for a feature. High population growth rates have posed new traffic management challenges in the urban areas. We are evaluating how Geo-spatial techniques are utilized in Road traffic analysis by visualizing the traffic congestion areas.
The document discusses a low-cost Bluetooth monitoring system for analyzing traffic flows. Bluetooth signals from vehicles are captured by roadside sensors to identify traffic patterns. Data on vehicle IDs, timestamps and locations are stored and used to derive information like travel times, speeds and origin-destination matrices. The system provides traffic data for management and planning while protecting privacy. Fixed sensors deployed in various cities collect long-term data, while mobile sensors allow short-term intensive monitoring.
i-TINS is an integrated travel information and navigation system that provides real-time multi-modal transportation data to residents and visitors of Abu Dhabi through a mobile app, website, and vehicle navigation systems. It collects data from various sources and provides traffic conditions, public transit arrival times, parking availability and other information to help travelers plan and monitor their journeys. The Darb mobile app was developed to deliver this live transportation data and additional trip planning services to users.
APAS is a software service that generates predicted arrival times for package deliveries based on telemetry data from carriers and other resources. It uses GPS data, delivery activities, distances, and predictive heuristics to calculate arrival times with different confidence levels. The service has an architecture that includes collecting and processing telemetry data via data flows, managing carrier routes and stops, and providing predictions to end users through an analysis filter service.
SC4 Workshop 2: Josep Maria Salanova - Pilot in ThessalonikiBigData_Europe
The document describes a big data transport pilot project in Thessaloniki, Greece. The project utilizes several sources of probe data including static Bluetooth sensors, a fleet of over 1,200 taxis and buses that provide real-time location data, and social media check-ins. This data is used to estimate traffic conditions, travel times, mobility patterns and more. The pilot aims to test processing techniques like travel time estimation, traffic prediction, and data expansion. Lessons learned from the first phase will be applied to improve the algorithms and integrate additional data sources in future pilots.
Solution to the Traffic Problem
Pune Traffic Police department requires a modern framework to manage the growing traffic and the growing boundaries of the city. They also have a requirement to digitize records and administration of fines in order to prevent corruption. They are keen to involve citizens to backfill the shortage of police staff. The project calls for a total redesign of their technology and tools from scratch.
The proposed technology should enable development of light-weight applications like the following. You are welcome to imagine additional use cases and propose solutions.
1. Online Traffic Signal Management
a. Enable Police Control Room to monitor traffic patterns and control traffic signals in real time
b. Enable emergency vehicles to override signals for rapid passage
2. Curb Corruption
a. Develop an audio-visual tool to capture officer’s interactions with offenders
3. Instafine
a. Police can take pictures of traffic violations
b. They can select the category and severity of violation, and submit immediately
c. Information about fines can be dispatched by post, email, Whatsapp, SMS, etc.
4. Citizen Police
a. Citizens can take pictures of traffic violations and submit to the Control Room
b. Control Room processes the complaints and sends fines to offenders
Speed and Position Control of Train Sytem Using GPSIOSR Journals
This document summarizes a system for controlling the speed and position of a train using GPS. The system includes modules on the train and at a railway control board (RBC) section. On the train, GPS is used to determine the current position and speed, which is sent to the RBC via Zigbee wireless transmission. At the RBC, the train's position and speed are displayed. The system can also automatically control the speed of the train and activate level crossing gates based on the train's position. The goal is to help avoid accidents by monitoring the train's location and speed in real-time.
Speed and Position Control of Train Sytem Using GPS IOSR Journals
The passengers face some problems regarding the arrival time of the train and they go on asking the
ticket checkers about the arrival. This creates trouble to the ticket checker to keep answering thousands of
passengers who are boarding the train. The GPS (Global Positioning System) gives the position of any object on
which it as placed with respect to the latitude and longitude of the earth. This technique would be helpful in tracking
the exact location of the train and as well the speed of the moving object. Some of the human activities causing
accidents include railway level crossing during the approach of train, misplaced fish plates and high speed at places
where speed should actually be less. So the system designed here which is called as ATCS (Advanced train control system) helps in reducing the accidents to an extent.
A survey on real time bus monitoring systemIRJET Journal
This document summarizes several techniques for real-time bus monitoring systems:
1) WiLocator uses surrounding WiFi access points to track and predict bus arrival times but relies on unstable WiFi signals.
2) EasyTracker requires transit agencies to install apps on smartphones in each bus but produces accurate route maps and schedules.
3) A GPS-GSM system tracks bus locations on Google Maps via a web application but requires users to open two apps.
4) An adaptive vehicle tracking methodology processes user requests for bus locations via SMS and collects bus information using mobile phones installed on each bus.
This document proposes an automated toll gate system that uses RFID tags and readers to track vehicles and automatically manage toll payments. The system would identify approaching vehicles, record their details from the RFID tag like owner name and vehicle information, and open the toll gate if the vehicle is authorized, deducting the toll from the associated account. This system aims to improve traffic management and monitoring of vehicles on roads by automating the toll process and recording travel details.
Neural Network Based Parking via Google Map GuidanceIJERA Editor
This document describes an intelligent parking guidance system that uses neural networks and algorithms to predict travel times between locations and allocate parking spaces. It consists of an Intelligent Trip Modeling System (ITMS) that uses a Speed Prediction Neural Network System (SPNNS) and Dynamic Traversing Speed Profile (DTSP) algorithm to accurately predict traffic speed and travel times. The system also includes an intelligent parking guidance component that provides information on nearby parking availability and allows users to reserve spaces based on their predicted time of arrival. The overall goal is to help drivers efficiently find parking by predicting travel times and allocating spaces in advance.
Yemen is experiencing rapid urbanization and population growth, increasing transportation demands. The traditional traffic system relies on traffic police and paper maps, causing terrible congestion problems. To address this, intelligent transportation systems (ITS) are needed to reduce traffic jams, detect accidents, and guide travelers using sensors on roads and vehicles. ITS involves monitoring real-time traffic conditions through collected data, which is sent to traffic management centers (TMC) that store data and control infrastructure like traffic lights to manage traffic flow.
Similar to Methodology Projet de cartographie du Transport Public Bamako ( SOTRAMA) (20)
Data Transport, is a non-profit organization that works to improve African
mobility through transit Data.
#TransitMapping #DataPortal #Standardization GTFS+ #DataViz #API
We have started in 2017
Data transport : We Improve African Mobility Through Databamaemmanuel
Data Transport, is a non-profit organization that working to improve African mobility through transport Data. #DataCollect #Mapping #GTFS #DataViz #DataApps
Déploiement de la solution Libre de cloud computing : Nextcloudbamaemmanuel
Nextcloud vous donne un contrôle fin sur l'accès aux données, facilite la synchronisation de fichiers et permet de partager entre les appareils. Il est une excellente solution pour les utilisateurs
non seulement privés mais aussi pou les organisations.
Il prend en charge plusieurs bases de données, comme Oracle, SQLite, PosgreSQL et MySQL.
This document lists the names, countries, and industries of 2019 Tony Elumelu Entrepreneurs from several African countries, including: Algeria, Angola, Benin, Botswana, Burundi, Cameroon, Cape Verde, Central African Republic, Chad, Comoros, Congo, Cote d'Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Ethiopia, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, and more. The entrepreneurs work in a variety of industries such as agriculture, ICT, manufacturing, healthcare,
This document provides an overview of open data in Africa based on several studies and analyses. It finds that while open data initiatives exist across many African countries, there is still progress to be made in completeness, timeliness, and consistency of open data publication. Country case studies on Kenya, South Africa, Ghana, Rwanda, Burkina Faso, and Morocco find some impact from open data including in sectors like agriculture, transportation, and health. However, challenges remain around legal frameworks, engagement between stakeholders, and measuring long term impact. Overall, open data in Africa presents opportunities but still requires more support through addressing recommendations around leadership, capacity building, and sustainable ecosystems.
le Guide des 7 Questions Clés Qu'un Entrepreneur Social Doit Se Poserbamaemmanuel
Vous avez décidé de vous engager en mettant votre talent et votre énergie dans un projet d’entrepreneuriat social, votre activité fonctionne mais vous vous demandez :
-Comment vous développer sans perdre de vue votre mission sociale ?
Comment apporter une réponse proportionnelle à l’enjeu de société ?
Comment mesurer et démultiplier votre impact social ?
Comment engager d’autres secteurs de la société pour accélérer votre développement ?
Prendre du temps maintenant pour en économiser plus tard...
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Digital Banking in the Cloud: How Citizens Bank Unlocked Their MainframePrecisely
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
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!
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
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.
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2. Data collection
1. Meeting and exchange with the syndicates of Sotrama
The purpose of this meeting is to inform syndicates and
transport operators about the data collection project and also to
collect information from them such as: the number of lines,
number of sotrama being moved, time and frequency of
movement, operators and the dispatching of sotrama in Bamako
City.
2. Field data collection
This is the step where the collector agents will be deployed in
the city of Bamako based on the sotrama lines for data
collection. 2 interviewers per line, will make 2 trips on the same
line (round trip/peak time and round trip/hour with little traffic)
-First we will identify the lines making up the urban transport
network of Bamako specific to Sotrama.
-Then the assignment of collecting agents on all lines,
this collection will be done from 7am (rush hour) to 12pm (little
traffic).
- The collecting agents will be on board the sotrama serving the
main lines to collect the data, they will exceptionally be
positioned with the driver near the windscreen to allow a good
reception of satellite signals and to ensure a good accuracy of the
collected points.
It should be noted that the collection tool (osmtraker,
kobotoolbox) used works without the Internet.
3. Types of data to be collected
- Departure points sotrama
-Sotrama operator (company name, address)
-Stops of each of the sotrama lines
-Destinations (arrival points)
-On traffic days.
-Time of course between 2 courses of a line. A trip is a distance
between the starting point and the destination, between 2 stops,
one station and the final destination.
Schedules (rush hour and off-peak hour) for running to stop
points
-Transportation line (name of the line)
-GPS traces (geo-referenced polyline)
-The direction of the roads (round trip)
-The cost of transport on all lines and stops
-Collect data: the segments that cannot be used in rain, the time
3. period, the stopping time by sotrama drivers during this period
This collected information will be used to digitalize the sotrama
transport network and to create the GTFS format.
Digitization and consolidation will be performed on a daily basis
by another team located in a connected space.
The collected data will be processed, digitized and sent to the
OpenStreetMap database.
Data Digitalization
The data being digitized in OpenStreetMap:
- Sotrama Departure points
-Sotrama operator
-Sotrama stop
-Transport line
-GPS Tracking
Establishment of
the GTFS Data
A GTFS feed, which contains static transit information, is
composed of a number of text (.txt) files that are contained in a
single ZIP file. Each file describes a particular aspect of transit
information: stops, routes, trips, fares, etc.
For the constitution of this file tools will be necessary please see
the tools table. But the types of data collected are essential in
the GTFS constitution, each of these files will receive specific
data.
- agency.txt will receive information on the transport service
(sotrama operator).
-calendar.txt will receive data on sotrama traffic days.
-routes.txt will receive the data on the direction of the roads (in
the direction) of departure and destination.
-stops.txt will receive the data of geographical type, the starting
and stopping points of sotrama, the destinations.
-trips.txt will provide the link between services (agency), roads
and traffic regimes
-stops_times.txt will receive data on trip schedules at stop
points.
-shapes.txt the data of types of transport line, GPS traces will
allow to build this file.
-frequencies.txt this file will receive the data of type Time of
course between 2 trips of a line.
4. Tools
Process Tools
Kick
description of
the tool
More detail
Platform
/Equipment
Data Collection
-OSM Tracker
-KoboToolBox
GPS Trace
recorder and
data collection
- GPX tracker
- Stops
geographically
registred
- Picture
- Notes…
Survey
-Question
-
Smartphone :
-Android
Data
Digitalization -JOSM
Data editor for
OpenStreetMap
(OSM)
Loading GPX
tracks,
background
imagery and
OSM data
from local
sources as
well as from
online sources
and allows to
edit the OSM
data
Computer :
-Windows
-Linux
-Mac
Data Quality
- OSMOSE
-OSM Inspector
-PT Assistant
- GTFS Validator
-Quality
assurance tools
for detecting
issues and
showing them
on OSM
-Web
debugging tool
-Validation of
Public
Transport
Route
-Quality
assurance for
GTFS data
- Detect
contributor’s
and conflation
issues
- Show those
identified
anomalies on
a map
- Allow to fix
anomalies
- Useful for
integrating
external Data
Base
Computer :
-Web tools
-OSM Plugin
Export data to -Edit, and Computer :