Gerald Richter, Christian Rudloff, Anita Graser
Austrian Institute of Technology, Austria
Topic: “Extraction of bicycle commuter trips from day-long GPS trajectories”
This document discusses the application of geographic information systems (GIS) and remote sensing in modern transportation systems. It defines remote sensing and GIS, introduces intelligent transportation systems (ITS) and the technologies involved like wireless communications, computational technologies, and sensing technologies. It then describes some ITS applications such as advanced traffic management using variable message signs, electronic toll collection, route guidance, and traveler information systems. Benefits of ITS are also highlighted such as time savings, reduced crashes, collision avoidance, and environmental benefits.
(Slides) P-Tour: A Personal Navigation System for TouristNaoki Shibata
http://ito-lab.naist.jp/themes/pdffiles/041019.atsu-mar.ITSWC2004.pdf
Maruyama, A., Shibata, N., Murata, Y., Yasumoto, K. and Ito, M.: P-Tour: A Personal Navigation System for Tourism, Proceedings of 11th World Congress on ITS Nagoya, pp.18-21 (October 2004)
We propose a personal navigation system for tourism called P-Tour. When a tourist specifies multiple destinations with relative importance and restrictions on arrival/staying time, P-Tour computes the nearly best schedule to visit part of those destinations. In addition to the map-based navigation, P-Tour provides temporal guidance according to the schedule, and automatically modifies the schedule when detecting the situation that the tourist cannot follow the schedule. We have developed a route search engine as a Java Servlet which can compute a semi-optimal schedule in reasonable time using techniques of genetic algorithms.
Can the Multimodal Real Time Information Systems Induce a More Sustainable Mo...IEA-ETSAP
1. The study tested a multimodal real-time navigation app called OPTIMOD'LYON in Lyon to evaluate its potential to influence travel behavior and induce more sustainable mobility.
2. Surveys conducted before and after a 5-month test period found minimal changes in participants' transport mode usage, with walking and public transit use increasing on some trips but car use unchanged.
3. Intended use of the app to plan trips was greater than actual reported use after the test, and intentions to change travel habits did not accurately predict observed behavior changes. The app was more useful for occasional rather than daily trips.
05 Traffic Data Collection (Traffic Engineering هندسة المرور & Prof. Saad AlG...Hossam Shafiq I
This document discusses traffic data collection methods for a traffic engineering course. It covers the importance of continual traffic monitoring and data collection to understand and manage roadway systems. A variety of manual, semiautomated, and automated methods are described, including pneumatic tubes, radar and infrared detectors, video imaging, and interviews. The data collected is used for purposes like assessing system performance, justifying improvements, and establishing traffic patterns and trends over time.
Applications of GIS to Logistics and Transportationsorbi
1. The document discusses how GIS can be used for logistics and transportation planning, including for emergency evacuation modeling. It provides an example of a study by Tom Cova that used GIS to model evacuation vulnerability by analyzing street networks and population data.
2. Cova demonstrated that GIS is an effective planning tool for rating evacuation risk by providing a visual map of areas that may experience bottlenecks. His analysis showed that limited entrances to subdivisions from main roads can hinder evacuation.
3. While Cova's analysis focused on measurable data like population and street layout, it did not consider social factors important to evacuation planning like culture, language, and needs of vulnerable groups.
ATS-16: Making Data Count, Krista NordbackBTAOregon
The document introduces the Bike-Ped Portal, a national online archive of non-motorized traffic count data. It provides an overview of the portal, including its purpose to aggregate and share bicycle and pedestrian count data. Users can upload their count data to the portal and download data. The portal currently includes over 5 million records from 5 states. The presentation demonstrates how to search for and visualize count data on the portal site.
This document discusses the application of geographic information systems (GIS) and remote sensing in modern transportation systems. It defines remote sensing and GIS, introduces intelligent transportation systems (ITS) and the technologies involved like wireless communications, computational technologies, and sensing technologies. It then describes some ITS applications such as advanced traffic management using variable message signs, electronic toll collection, route guidance, and traveler information systems. Benefits of ITS are also highlighted such as time savings, reduced crashes, collision avoidance, and environmental benefits.
(Slides) P-Tour: A Personal Navigation System for TouristNaoki Shibata
http://ito-lab.naist.jp/themes/pdffiles/041019.atsu-mar.ITSWC2004.pdf
Maruyama, A., Shibata, N., Murata, Y., Yasumoto, K. and Ito, M.: P-Tour: A Personal Navigation System for Tourism, Proceedings of 11th World Congress on ITS Nagoya, pp.18-21 (October 2004)
We propose a personal navigation system for tourism called P-Tour. When a tourist specifies multiple destinations with relative importance and restrictions on arrival/staying time, P-Tour computes the nearly best schedule to visit part of those destinations. In addition to the map-based navigation, P-Tour provides temporal guidance according to the schedule, and automatically modifies the schedule when detecting the situation that the tourist cannot follow the schedule. We have developed a route search engine as a Java Servlet which can compute a semi-optimal schedule in reasonable time using techniques of genetic algorithms.
Can the Multimodal Real Time Information Systems Induce a More Sustainable Mo...IEA-ETSAP
1. The study tested a multimodal real-time navigation app called OPTIMOD'LYON in Lyon to evaluate its potential to influence travel behavior and induce more sustainable mobility.
2. Surveys conducted before and after a 5-month test period found minimal changes in participants' transport mode usage, with walking and public transit use increasing on some trips but car use unchanged.
3. Intended use of the app to plan trips was greater than actual reported use after the test, and intentions to change travel habits did not accurately predict observed behavior changes. The app was more useful for occasional rather than daily trips.
05 Traffic Data Collection (Traffic Engineering هندسة المرور & Prof. Saad AlG...Hossam Shafiq I
This document discusses traffic data collection methods for a traffic engineering course. It covers the importance of continual traffic monitoring and data collection to understand and manage roadway systems. A variety of manual, semiautomated, and automated methods are described, including pneumatic tubes, radar and infrared detectors, video imaging, and interviews. The data collected is used for purposes like assessing system performance, justifying improvements, and establishing traffic patterns and trends over time.
Applications of GIS to Logistics and Transportationsorbi
1. The document discusses how GIS can be used for logistics and transportation planning, including for emergency evacuation modeling. It provides an example of a study by Tom Cova that used GIS to model evacuation vulnerability by analyzing street networks and population data.
2. Cova demonstrated that GIS is an effective planning tool for rating evacuation risk by providing a visual map of areas that may experience bottlenecks. His analysis showed that limited entrances to subdivisions from main roads can hinder evacuation.
3. While Cova's analysis focused on measurable data like population and street layout, it did not consider social factors important to evacuation planning like culture, language, and needs of vulnerable groups.
ATS-16: Making Data Count, Krista NordbackBTAOregon
The document introduces the Bike-Ped Portal, a national online archive of non-motorized traffic count data. It provides an overview of the portal, including its purpose to aggregate and share bicycle and pedestrian count data. Users can upload their count data to the portal and download data. The portal currently includes over 5 million records from 5 states. The presentation demonstrates how to search for and visualize count data on the portal site.
This study analyzed cycling routes in London using GPS data from the Strava application to understand the factors that influence cyclists' route choices. It found that cyclists' routes were on average 15.5-22.6% longer than the shortest path, suggesting cyclists prioritize route attributes like infrastructure, gradient, traffic levels and perceived safety over distance alone. The methodology could be improved by focusing on weekday data and using more realistic values when generating routes. Understanding route choice is important for designing infrastructure that encourages more cycling.
Webinar: Using smart card and GPS data for policy and planning: the case of T...BRTCoE
2014/08/28 webinar by Marcela A. Munizaga
See more in:
http://www.brt.cl/webinar-using-smart-card-and-gps-data-for-policy-and-planning-the-case-of-transantiago/
The document discusses Intelligent Transportation Systems (ITS). ITS uses advanced technologies like electronics, computers, communications and sensors to improve transportation safety and efficiency. It describes several ITS technologies like wireless communications, computational technologies, and sensing technologies. It also discusses ITS applications such as electronic toll collection, emergency notification, congestion pricing, automatic enforcement, collision avoidance and traveler information. Finally, it outlines benefits of ITS such as time savings, improved safety, reduced costs and emissions.
The document discusses three different urban traffic management systems: MAXBAND, SCATS, and SCOOT. MAXBAND uses optimization algorithms to determine signal timing parameters but requires significant computer resources. SCATS is an adaptive system used in over 250 cities worldwide that adjusts signal timing in real-time based on vehicle detection. It aims to minimize stops and delays. SCOOT similarly uses detection data to optimize cycle lengths, splits, and offsets every few minutes to reduce congestion and emissions.
Positioning improvements for Intelligent Transportation Systems (ITS)Bastien Terret
Here is a presentation made for a seminar during my training at the university RWTH Aachen.
This is about solutions found to improve positioning systems for transportation systems.
Feel free to contact me.
ZGIS Selected Topics Lecture GIS and mobility research planningMartin L
GIS can help address mobility challenges in three key ways:
1) GIS facilitates an integrated approach to mobility analysis, planning and operations by allowing the collection and overlay of diverse spatial data perspectives.
2) GIS supports efficient, sustainable and socially equitable mobility through spatial analysis and modeling of factors like accessibility, transportation networks, land use, and exposure to traffic impacts.
3) GIS enables informed decision-making for mobility through applications like traffic monitoring, routing, and public information systems that promote alternatives to private vehicle travel.
The document describes a radar map application for vehicular networks that is implemented on the Android operating system. The application uses GPS, dead reckoning, and vehicle-to-vehicle communication to show real-time locations and distances between neighboring vehicles on a map. Error correction algorithms are used to minimize cumulative GPS and position errors over time. The experimental results demonstrate the application adjusting vehicle positions using dead reckoning on Google Maps and displaying the radar map on Android.
2013 06-28 Benchmark report comparing six latin american public transport sys...BRTCoE
The document presents the results of a study that compared key operational indicators of public transportation systems in 6 Latin American cities: Santiago, Mexico City, Guadalajara, Porto Alegre, Bogota, and Lima. The study found that Santiago and Bogota had higher average speeds, lower travel time variability between trips of similar lengths, and lower waiting times compared to the other cities. It also found that in Santiago, speed was significantly higher in segregated bus corridors than mixed traffic roads. Additional results showed walking times were higher in Santiago and Mexico City, and information availability about transit options was heterogeneous across the cities.
The document presents a proposed method for annotating transportation mode from tourist GPS trajectory data under environmental constraints. The method uses both tourist features like speed from GPS data as well as environmental constraints like bus routes and train lines to estimate transportation mode. It aims to reduce inconsistencies between estimations from GPS data alone and what is possible given real-world constraints. An experiment applying the method to GPS data from tourist trips in Kyoto showed higher accuracy, around 90%, compared to using GPS data alone or other existing methods. The authors discuss areas for further improving the method, like automatically determining parameters and incorporating more environmental constraints.
Agent-based simulation of bicycle traffic - Background informationMartin L
Brief introduction for a student project which deals with the possibilities of agent-based simulation approaches for estimating bicycle traffic in an urban road network.
Traffic information systems collect and process current traffic data and disseminate it to users. They can be centralized, with a central authority collecting, processing, and sharing data, or decentralized, where each vehicle collects and shares local data. Key elements include data collection, processing, and dissemination. Decentralized systems avoid issues with centralized systems like limited coverage and high costs. One example is SOTIS, where each vehicle monitors local traffic and shares data with surrounding vehicles via wireless links. This allows comprehensive coverage without fixed infrastructure. Driving route-based visual TIS provides personalized traffic information to each user based on their specific route.
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...IJDKP
Traffic is one of the most significant problem in Sri Lanka. Valuable time can be saved if there is a proper way to predict the traffic and recommend the best route considering the time factor and the people’s satisfaction on various transportation methods. Therefore, in this research using location awareness applications installed in mobile devices, data related to user mobility were collected by using crowdsourcing techniques and studied. Based on these observations an algorithm has been developed to overcome the problem. By using this, the best transportation method can be predicted as the results of the research. Therefore, people can choose what will be the best time slots & transportation methods when planning journeys. Throughout this research it has been proven that for the Sri Lankan context, the data mining concepts together with crowdsourcing can be applied to determine the best transportation method.
The document summarizes the contributions of OpenStreetMap (OSM) in mapping efforts in Haiti following the 2010 earthquake. It details how OSM data was made available within days and used by responders. Hundreds of mappers were trained through programs run by the HOT (Humanitarian OpenStreetMap Team). By 2012, OSM data was being used by several organizations in Haiti for disaster risk management, education, health, and other mapping projects.
This document outlines the course structure and syllabus for the M.Tech Transportation Engineering program at Jawaharlal Nehru Technological University Hyderabad. It provides details on the courses offered in each semester of the 2-year program, including course codes, subjects, credits, and brief descriptions. In the first year, courses cover topics such as traffic engineering and management, transportation infrastructure design, urban transportation policy and planning, pavement material characterization, and electives. The second year focuses on a comprehensive viva, project seminar, and project work. Sample course details and syllabi are also provided for select subjects.
Improving transport in Malta using GIS and LBSMatthew Pulis
A presentation prepared to the University of Malta as part of my MSc. Informatics. This seminar discusses ways and improvements how can a GIS driven system help and improve the current situation in Malta. This presentation also provides a survey discussing how the Maltese view the public transport and gives out interesting conclusions as to where the GIS needs to tackle. The study focuses mainly on ways as to where and how to improve the routes, promoting cultural places, buses ETA and taxi fleet handling amongst others.
Traffic Light Controller System using Optical Flow EstimationEditor IJCATR
As we seen everyday vehicle traffic increases day by day on road is causing many issues. We face many traffic jams due to the inefficient traffic controlling system which is unable to cope up with the current scenario of traffic in our country. To overcome such drastic scenario and looking at current traffic volume we need to develop a system which works on real time processing and works after determining the traffic density and then calculating the best possibility in which the traffic on particular cross road is dissolved. Also, it helps in saving time as on traffic roads. In present traffic control system when there is no traffic on road but the static signal not allow traffic to move to cross and it changes after at fixed interval so at every cycle this amount of time is wasted for unused traffic density road and if one road is at high traffic it continuously grows till human intervention. The basic theme is to control the traffic using static cameras fixed on right side of the road along top of the traffic pole to check the complete traffic density on other side of the road. This system will calculate number of vehicles on the road by moving detection and tracking system developed based on optical flow estimation and green light counter will be based on the calculated number of vehicles on the road.
The document discusses various aspects of traffic engineering including traffic studies and analysis, planning and design, operation and control, and safety. It describes different types of traffic studies such as volume, speed, origin-destination, and parking studies. It provides details on methods for conducting speed, delay, and origin-destination studies. Various factors influencing traffic and methods of data collection and analysis are also summarized.
Deriving on-trip route choices of truck drivers by utilizing Bluetooth data,...SalilSharma26
This paper models on-trip route choices of the truck drivers. Second, we assess the inefficiencies of those routing decisions. This paper utilizes Bluetooth data, loop detector data, and variable message sign data to model the route choices of truck drivers. The trucks are inferred from Bluetooth data by applying a Gaussian mixture model-based clustering technique. We apply both a binary logit model and a mixed logit model to derive the route choices of truck drivers on a case study between the port of Rotterdam and hinterland in the Netherlands. The model results indicate truck drivers significantly value travel distance, instantaneous travel time and lane closure information en-route. The estimate of travel distance varies significantly among truck drivers. While 38 percent of truck drivers do not take the shortest time path, 48 percent of truck drivers do not choose the system-optimal path.
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...IJDKP
Traffic is one of the most significant problem in Sri Lanka. Valuable time can be saved if there is a proper
way to predict the traffic and recommend the best route considering the time factor and the people’s
satisfaction on various transportation methods. Therefore, in this research using location awareness
applications installed in mobile devices, data related to user mobility were collected by using
crowdsourcing techniques and studied. Based on these observations an algorithm has been developed to
overcome the problem. By using this, the best transportation method can be predicted as the results of the
research. Therefore, people can choose what will be the best time slots & transportation methods when
planning journeys. Throughout this research it has been proven that for the Sri Lankan context, the data mining concepts together with crowdsourcing can be applied to determine the best transportation method.
This study analyzed cycling routes in London using GPS data from the Strava application to understand the factors that influence cyclists' route choices. It found that cyclists' routes were on average 15.5-22.6% longer than the shortest path, suggesting cyclists prioritize route attributes like infrastructure, gradient, traffic levels and perceived safety over distance alone. The methodology could be improved by focusing on weekday data and using more realistic values when generating routes. Understanding route choice is important for designing infrastructure that encourages more cycling.
Webinar: Using smart card and GPS data for policy and planning: the case of T...BRTCoE
2014/08/28 webinar by Marcela A. Munizaga
See more in:
http://www.brt.cl/webinar-using-smart-card-and-gps-data-for-policy-and-planning-the-case-of-transantiago/
The document discusses Intelligent Transportation Systems (ITS). ITS uses advanced technologies like electronics, computers, communications and sensors to improve transportation safety and efficiency. It describes several ITS technologies like wireless communications, computational technologies, and sensing technologies. It also discusses ITS applications such as electronic toll collection, emergency notification, congestion pricing, automatic enforcement, collision avoidance and traveler information. Finally, it outlines benefits of ITS such as time savings, improved safety, reduced costs and emissions.
The document discusses three different urban traffic management systems: MAXBAND, SCATS, and SCOOT. MAXBAND uses optimization algorithms to determine signal timing parameters but requires significant computer resources. SCATS is an adaptive system used in over 250 cities worldwide that adjusts signal timing in real-time based on vehicle detection. It aims to minimize stops and delays. SCOOT similarly uses detection data to optimize cycle lengths, splits, and offsets every few minutes to reduce congestion and emissions.
Positioning improvements for Intelligent Transportation Systems (ITS)Bastien Terret
Here is a presentation made for a seminar during my training at the university RWTH Aachen.
This is about solutions found to improve positioning systems for transportation systems.
Feel free to contact me.
ZGIS Selected Topics Lecture GIS and mobility research planningMartin L
GIS can help address mobility challenges in three key ways:
1) GIS facilitates an integrated approach to mobility analysis, planning and operations by allowing the collection and overlay of diverse spatial data perspectives.
2) GIS supports efficient, sustainable and socially equitable mobility through spatial analysis and modeling of factors like accessibility, transportation networks, land use, and exposure to traffic impacts.
3) GIS enables informed decision-making for mobility through applications like traffic monitoring, routing, and public information systems that promote alternatives to private vehicle travel.
The document describes a radar map application for vehicular networks that is implemented on the Android operating system. The application uses GPS, dead reckoning, and vehicle-to-vehicle communication to show real-time locations and distances between neighboring vehicles on a map. Error correction algorithms are used to minimize cumulative GPS and position errors over time. The experimental results demonstrate the application adjusting vehicle positions using dead reckoning on Google Maps and displaying the radar map on Android.
2013 06-28 Benchmark report comparing six latin american public transport sys...BRTCoE
The document presents the results of a study that compared key operational indicators of public transportation systems in 6 Latin American cities: Santiago, Mexico City, Guadalajara, Porto Alegre, Bogota, and Lima. The study found that Santiago and Bogota had higher average speeds, lower travel time variability between trips of similar lengths, and lower waiting times compared to the other cities. It also found that in Santiago, speed was significantly higher in segregated bus corridors than mixed traffic roads. Additional results showed walking times were higher in Santiago and Mexico City, and information availability about transit options was heterogeneous across the cities.
The document presents a proposed method for annotating transportation mode from tourist GPS trajectory data under environmental constraints. The method uses both tourist features like speed from GPS data as well as environmental constraints like bus routes and train lines to estimate transportation mode. It aims to reduce inconsistencies between estimations from GPS data alone and what is possible given real-world constraints. An experiment applying the method to GPS data from tourist trips in Kyoto showed higher accuracy, around 90%, compared to using GPS data alone or other existing methods. The authors discuss areas for further improving the method, like automatically determining parameters and incorporating more environmental constraints.
Agent-based simulation of bicycle traffic - Background informationMartin L
Brief introduction for a student project which deals with the possibilities of agent-based simulation approaches for estimating bicycle traffic in an urban road network.
Traffic information systems collect and process current traffic data and disseminate it to users. They can be centralized, with a central authority collecting, processing, and sharing data, or decentralized, where each vehicle collects and shares local data. Key elements include data collection, processing, and dissemination. Decentralized systems avoid issues with centralized systems like limited coverage and high costs. One example is SOTIS, where each vehicle monitors local traffic and shares data with surrounding vehicles via wireless links. This allows comprehensive coverage without fixed infrastructure. Driving route-based visual TIS provides personalized traffic information to each user based on their specific route.
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...IJDKP
Traffic is one of the most significant problem in Sri Lanka. Valuable time can be saved if there is a proper way to predict the traffic and recommend the best route considering the time factor and the people’s satisfaction on various transportation methods. Therefore, in this research using location awareness applications installed in mobile devices, data related to user mobility were collected by using crowdsourcing techniques and studied. Based on these observations an algorithm has been developed to overcome the problem. By using this, the best transportation method can be predicted as the results of the research. Therefore, people can choose what will be the best time slots & transportation methods when planning journeys. Throughout this research it has been proven that for the Sri Lankan context, the data mining concepts together with crowdsourcing can be applied to determine the best transportation method.
The document summarizes the contributions of OpenStreetMap (OSM) in mapping efforts in Haiti following the 2010 earthquake. It details how OSM data was made available within days and used by responders. Hundreds of mappers were trained through programs run by the HOT (Humanitarian OpenStreetMap Team). By 2012, OSM data was being used by several organizations in Haiti for disaster risk management, education, health, and other mapping projects.
This document outlines the course structure and syllabus for the M.Tech Transportation Engineering program at Jawaharlal Nehru Technological University Hyderabad. It provides details on the courses offered in each semester of the 2-year program, including course codes, subjects, credits, and brief descriptions. In the first year, courses cover topics such as traffic engineering and management, transportation infrastructure design, urban transportation policy and planning, pavement material characterization, and electives. The second year focuses on a comprehensive viva, project seminar, and project work. Sample course details and syllabi are also provided for select subjects.
Improving transport in Malta using GIS and LBSMatthew Pulis
A presentation prepared to the University of Malta as part of my MSc. Informatics. This seminar discusses ways and improvements how can a GIS driven system help and improve the current situation in Malta. This presentation also provides a survey discussing how the Maltese view the public transport and gives out interesting conclusions as to where the GIS needs to tackle. The study focuses mainly on ways as to where and how to improve the routes, promoting cultural places, buses ETA and taxi fleet handling amongst others.
Traffic Light Controller System using Optical Flow EstimationEditor IJCATR
As we seen everyday vehicle traffic increases day by day on road is causing many issues. We face many traffic jams due to the inefficient traffic controlling system which is unable to cope up with the current scenario of traffic in our country. To overcome such drastic scenario and looking at current traffic volume we need to develop a system which works on real time processing and works after determining the traffic density and then calculating the best possibility in which the traffic on particular cross road is dissolved. Also, it helps in saving time as on traffic roads. In present traffic control system when there is no traffic on road but the static signal not allow traffic to move to cross and it changes after at fixed interval so at every cycle this amount of time is wasted for unused traffic density road and if one road is at high traffic it continuously grows till human intervention. The basic theme is to control the traffic using static cameras fixed on right side of the road along top of the traffic pole to check the complete traffic density on other side of the road. This system will calculate number of vehicles on the road by moving detection and tracking system developed based on optical flow estimation and green light counter will be based on the calculated number of vehicles on the road.
The document discusses various aspects of traffic engineering including traffic studies and analysis, planning and design, operation and control, and safety. It describes different types of traffic studies such as volume, speed, origin-destination, and parking studies. It provides details on methods for conducting speed, delay, and origin-destination studies. Various factors influencing traffic and methods of data collection and analysis are also summarized.
Deriving on-trip route choices of truck drivers by utilizing Bluetooth data,...SalilSharma26
This paper models on-trip route choices of the truck drivers. Second, we assess the inefficiencies of those routing decisions. This paper utilizes Bluetooth data, loop detector data, and variable message sign data to model the route choices of truck drivers. The trucks are inferred from Bluetooth data by applying a Gaussian mixture model-based clustering technique. We apply both a binary logit model and a mixed logit model to derive the route choices of truck drivers on a case study between the port of Rotterdam and hinterland in the Netherlands. The model results indicate truck drivers significantly value travel distance, instantaneous travel time and lane closure information en-route. The estimate of travel distance varies significantly among truck drivers. While 38 percent of truck drivers do not take the shortest time path, 48 percent of truck drivers do not choose the system-optimal path.
APPLICABILITY OF CROWD SOURCING TO DETERMINE THE BEST TRANSPORTATION METHOD B...IJDKP
Traffic is one of the most significant problem in Sri Lanka. Valuable time can be saved if there is a proper
way to predict the traffic and recommend the best route considering the time factor and the people’s
satisfaction on various transportation methods. Therefore, in this research using location awareness
applications installed in mobile devices, data related to user mobility were collected by using
crowdsourcing techniques and studied. Based on these observations an algorithm has been developed to
overcome the problem. By using this, the best transportation method can be predicted as the results of the
research. Therefore, people can choose what will be the best time slots & transportation methods when
planning journeys. Throughout this research it has been proven that for the Sri Lankan context, the data mining concepts together with crowdsourcing can be applied to determine the best transportation method.
The document describes a web portal for evaluating bus regularity using automatic vehicle location (AVL) data. It aims to measure service quality by analyzing headway adherence between buses. The methodology calculates the coefficient of variation of headways to determine levels of service. Raw AVL data is processed and aggregated to generate regularity metrics. The web portal is designed to help transport experts quickly analyze reliability issues through interactive reports and maps. It provides a decision support system for improving public transit service quality.
IRJET - Improving Road Travel with Route Suggestion using Decision Tree A...IRJET Journal
The document describes a system that uses sensors in smartphones to analyze road conditions and provide route suggestions to users. It collects data from accelerometers and gyroscopes in smartphones about road vibrations as vehicles move. This data is classified using a decision tree algorithm and stored in a database. The system can then suggest the best routes to users based on current and historical road condition data. It aims to provide safer and more comfortable travel routes without requiring additional hardware. The system architecture involves smartphones collecting sensor data, classifying and uploading it to a server database, which then informs other app users of road conditions and traffic in real-time.
CycleStreets: Our Story - presentation to Net2Camb eventCycleStreets
CycleStreets is a UK-wide cycle journey planner and photomap created by cyclists for cyclists. It uses OpenStreetMap data to plan bike routes and allows users to add photos. The website includes a journey planner, photomap, and mobile apps. CycleStreets aims to promote cycling by making it easier to find safe and enjoyable bike routes anywhere in the UK. It was originally created for Cambridge but has expanded nationwide due to public demand.
This document discusses the use of remote sensing and geographic information systems (GIS) for transportation network analysis. It provides an overview of how GIS technologies allow transportation networks to be identified, mapped, and analyzed using spatial data. Different remote sensing platforms and sensors are described that can be used at varying spatial resolutions for applications like transportation planning, mapping road networks, and analyzing connectivity between locations. Case studies are presented where GIS software like ArcGIS has been applied to digitize transportation maps from countries and perform network analysis, including finding shortest paths and modeling bus routes.
Title: Taking Pedestrian and Bicycle Counting Programs to the Next Level
Track: Connect
Format: 90 minute panel
Abstract: Panelists will provide practical guidance for pedestrian and bicycle counting programs based on findings from NCHRP Project 07-19, "Methods and Technologies for Collecting Pedestrian and Bicycle Volume Data."
Presenters:
Presenter: Robert Schneider University of Wisconsin-Milwaukee
Co-Presenter: RJ Eldridge Toole Design Group, LLC
Co-Presenter: Conor Semler Kittelson & Associates, Inc.
The peer-reviewed International Journal of Engineering Inventions (IJEI) is started with a mission to encourage contribution to research in Science and Technology. Encourage and motivate researchers in challenging areas of Sciences and Technology.
This Seminar presentation is made by Shrikrishna Kesharwani
1ST YEAR, Transportation engineering student
NIT WARANGAL
FOLLOW ME ON INSTAGRAM
@SHRIKRISHNAKESHARWANI
Title: New Tools for Estimating Walking and Bicycling Demand
Track: Sustain
Format: 90 minute panel
Abstract: Walking and bicycling demand estimates can make a stronger case for investing in new facilities and are necessary inputs to important planning tasks. This session presents state-of-the-art tools to predict walking and bicycling demand at varying geographic scales. Tools include: 1) a framework to incorporate walking into regional travel demand models; 2) a method to estimate bicycle and pedestrian traffic based on count data; 3) new mode choice models; and 4) a web-based repository of non-motorized demand analysis tools.
Presenters:
Presenter: Patrick Singleton Portland State University
Co-Presenter: J. Richard (Rich) Kuzmyak Renaissance Planning Group
Co-Presenter: Greg Lindsey University of Minnesota, Humphrey School
Co-Presenter: Jeremy Raw Federal Highway Administration
Vehicle Traffic Analysis using CNN AlgorithmIRJET Journal
The document describes a research paper that aims to analyze vehicle traffic using a CNN algorithm. Specifically, it seeks to build an adaptive traffic light system that can change signal times based on vehicle traffic levels at intersections. It discusses using techniques like image processing and deep learning algorithms like YOLO v3 and CNNs to detect vehicles and estimate traffic levels in images captured by cameras at intersections in both day and night conditions. Based on the detected vehicle densities or counts on each road, the system would dynamically allocate longer green signal times to roads with heavier traffic to help reduce congestion and waiting times. The proposed approach aims to provide a more efficient alternative to traditional fixed-time traffic light systems.
The document discusses the use of information technology in modernizing city bus services in India. It provides examples of how several Indian cities like Delhi, Mysore, and Ahmedabad are using GPS data, electronic ticketing machine data, and route planning software to optimize their bus routes, schedules, and operations. The data-driven approaches have led to benefits like improved efficiency, higher ridership and revenues, and better customer satisfaction. However, most cities still have scope to increase their use of data analytics to further enhance service monitoring, delivery, and maintenance of service levels.
Pedestrian infrastructure audits for the City of Sydney’s Liveable Green Ne...JumpingJaq
The City of Sydney commissioned pedestrian infrastructure audits along its Liveable Green Network to identify gaps and areas for improvement. A team audited the pedestrian facilities over eight weeks, recording the location, issues, and widths of paths and other infrastructure using GPS and GIS tools on tablets. They collected extensive data on over 14,000 assets. This included identifying over 6,900 kerb ramps. The results were prioritized and presented to the City in a detailed geodatabase and maps to inform planning improvements to pedestrian access.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
This document discusses a system for mining traffic data using GPS-enabled mobile phones in a mobile cloud infrastructure. The system has three main components: a client interface on mobile devices, a server process, and cloud storage. The client filters GPS data from mobile devices to identify motorized transportation modes. This data is sent to the server, which uses distance-based clustering to group devices on the same vehicle. The clustered data and historical data are stored in the cloud for traffic detection. This mobile cloud approach reduces burdens on mobile devices and servers while leveraging cloud resources.
A survey on road extraction from color image using vectorizationeSAT Journals
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Extraction of bicycle commuter trips from day long gps trajectories
1. Extraction of bicycle commuter trips
from day-long GPS trajectories
Cycling Data Challenge 2013
Leuven, Belgium
workshop presentation
Gerald Richter 1 Christian Rudloff 1 Anita Graser 1
1Austrian Inst. of Technology – Mobility Dept. – Dynamic Transportation Systems
G. Richter | AIT | mobility | DTS May 14, 2013 1 / 19
2. The Austrian Institute of Technology
AIT – who we are and what we do
Austria’s largest non-university research institute
AIT: 5 departments focussing on applied research topics
• Energy
• Mobility
business units:
• Transportation Infrastructure Technologies
• Dynamic Transportation Systems
• Electric Drive Technologies
• Light Metals Technologies Ranshofen
• Safety & Security
• Health & Environment
• Foresight & Policy Development
G. Richter | AIT | mobility | DTS May 14, 2013 2 / 19
3. Dynamic Transportation Systems
“develop efficient, safe and cost-effective multimodal
transportation solutions for transportation networks, hubs and
services”
Airports / Train Stations
Shopping Centres / Events
Multi-Modal Transportation
Networks
Transport Logistics
Crowd Dynamics Traffic Flow Modelling Dynamic Vehicle Routing
OptimisationSimulation /
Prediction
Data AnalysisData Collection
G. Richter | AIT | mobility | DTS May 14, 2013 3 / 19
4. GPS measurements
and some peculiarities
Proper GPS measurement requires 4 satelites
to be visible by device.
Measurement is stochastic process by nature.
Positional precision is gaussian distributed
under clear-view conditions.
Additional effects arise from obstructed view
(signal shadowing, reflection by obstacles).
• outliers: sudden change in signal reception
conditions
• drift: longer phases of signal impairment,
receiver-internal error correction walking a
misguided path.
snap-back
true path
G. Richter | AIT | mobility | DTS May 14, 2013 4 / 19
5. The input data
. . . hence this initial situation
some points not out of this
world
some tracks far outside the
region of interest
most likely due to GPS
initialisation phase
– fixable by bounding box
clipping
Figure: detail UK
G. Richter | AIT | mobility | DTS May 14, 2013 5 / 19
6. A simple yet efficient approach
stages of processing
Cleaning
• Outliers and unlikely points in the data are removed
i.e.: some trajectory smoothness is ascertained
• Data is split into trip trajectories inbetween stops or
activities
i.e.: a journey’s segments are identified
Mode Detection
• A training set of data is used to identify decision criteria
within a manually chosen set of variables (trip parameters).
• With those criteria modes of trips are detected to separate
bike trips from other trips
Details found in [1, 3, 2]
G. Richter | AIT | mobility | DTS May 14, 2013 6 / 19
7. Cleaning the data
Steps of the data cleaning algorithm
Outliers are removed according to
• geographic location: within bounding box around area of
interest
• accesiblity: reachable by realistic speeds (here ≤ 50 m
s )
• GPS drifts: points before trajectory snap-backs are deleted
until the remaining trajectory only contains realistic speeds
Stop detection and trip separation
• Stop is detected when trajectory does not
leave circle of radius 30m for at least 5
minutes.
• GPS trajectories are cut into trips at stop
points (removal of tumbleweed)
• Next trip starts when trajectory leaves
circle
G. Richter | AIT | mobility | DTS May 14, 2013 7 / 19
8. Unlikely points
Tumbleweed also found at
shorter stops (e.g. traffic lights)
Removed by loop detection
(look ahead 3 minutes and
find very low effective
velocities to reach a
successive trajectory point
in given time interval)
All points in loop are
replaced by one middle
point between start and
end of loop.
G. Richter | AIT | mobility | DTS May 14, 2013 8 / 19
9. Modal Decision
principle
Classification of cycling tracks
using a decision tree
Other methodologies (logistic
regression, support vector
machines, neural network)
show similar out of sample
performance
Decision tree are easy to use
and interpret
exemplary diagram:
(2-dimensional feature space)
Training data from the Vienna region with 8 different modes
G. Richter | AIT | mobility | DTS May 14, 2013 9 / 19
10. Mode Detection
algorithmic choices
For CDC data set distinction was made between 3 Modes
Walking
Cycling
Other
Algorithmic separability optimisation left 3 separation variables:
maximum velocity
percentage of time over 16 km/h
maximum acceleration
G. Richter | AIT | mobility | DTS May 14, 2013 10 / 19
12. Bird’s eye comparison
in numbers
Comparison of no. cycle trips and trip length
refined all modes cycling
No. cycle trips 941 1,734 749
Total trip [km] 4,483 6,800 3,014
Oct 12 2011
Oct 19 2011
Oct 26 2011
Nov 02 2011
Nov 09 2011
Nov 16 2011
Nov 23 2011
0
20000
40000
60000
80000
100000
totaltriptime[s]
trips per day comparison
wrt. total time
diary
processed
Oct 12 2011
Oct 19 2011
Oct 26 2011
Nov 02 2011
Nov 09 2011
Nov 16 2011
Nov 23 2011
0
10
20
30
40
50
60
70
totalnumberoftrips
trips per day comparison
wrt. number of trips
diary
processed
G. Richter | AIT | mobility | DTS May 14, 2013 12 / 19
13. Comparing track densities
principle
fewer trips were
detected than in refined
data
algorithm unlikely to
falsely qualify tracks as
cycling
coordinate shift in initial
data along the
backslash diagonal
(processed cycling trips) – (refined trips)
G. Richter | AIT | mobility | DTS May 14, 2013 13 / 19
14. Different cyclists
0 100 200 300 400 500 600 700
avg. number of pts per trip
5
0
5
10
15
20
25
numberoftrips
processed trip scatter
for all cyclists
quite different profiles
by cycling habit or
trajectory cleaning?
⇒ look associated
velocity profiles
0 10 20 30 40 50 60
speed [km/h]
0
100
200
300
400
500
#GPSpoints
speed distribution: cyclist 101
(high number of trips)
0 10 20 30 40 50 60
speed [km/h]
0
50
100
150
200
250
300
350
400
450
#GPSpoints
speed distribution: cyclist 113
(high avg. number of points per trip)
G. Richter | AIT | mobility | DTS May 14, 2013 14 / 19
15. Cyclist differences on map
high number of points per track
cyclist 113
high number of tracks
cyclist 101
G. Richter | AIT | mobility | DTS May 14, 2013 15 / 19
17. Summary & conclusions
Applied methods successfully discern useful GPS tracking data
from technological artifacts.
Not too complex methods, good classification of the cycling
transport mode
Results display periodic features of protocolled travel activity wrt.
number of trips and travel times.
Algorithm cannot identify all cycling tracks of reference data.
Differences most likely due to dissimilar training set.
Low rate of false modal identification for cycling, while retaining
the substantial part of useable tracking data.
Compared to reference data, removal of erratic GPS
measurement errors with appreciable reliability.
TODO: Use of homologous training data (road network topology
and traffic densities) expected to yield consistently better results.
G. Richter | AIT | mobility | DTS May 14, 2013 17 / 19
18. Remarks
Thanks to:
CDC2013 organisers
The other contributers and colleagues who I work with
. . . a patient audience
Questions & comments to:
Gerald.Richter@ait.ac.at
Christian.Rudloff@ait.ac.at
Anita.Graser@ait.ac.at
G. Richter | AIT | mobility | DTS May 14, 2013 18 / 19
19. References
[1] D. Bauer et al. “On Extracting Commuter Information from
GPS Motion Data”. In: Proceedings International
Workshop on Computational Transportation Science
(IWCTS08). 2008.
[2] R. Hariharan and K. Toyama. “Project Lachesis: Parsing
and Modeling Location Histories.” In: Proceedings of the
Third International Conference on GIScience. Adelphi,
MD, USA, 2004.
[3] C. Rudloff and M. Ray. “Detecting Travel Modes and
Profiling Commuter Routes Solely Based on GPS Data”.
In: TRB 89th Annual Meeting. 2010.
G. Richter | AIT | mobility | DTS May 14, 2013 19 / 19