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Intelligent Transportation System Projects in Heterogeneously-Connected Environments

Intelligent Transportation System Projects in Heterogeneously-Connected Environments

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Intelligent Transportation System Projects in Heterogeneously-Connected Environments

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  1. Intelligent Transportation System Projects in Heterogeneously-Connected Environments Jeffrey Miller, Ph.D. Associate Professor, Computer Engineering University of Alaska Anchorage Alaska Department of Transportation Quarterly Design Meeting July 31, 2012

  2. Outline • VANETs • Discrete Traffic Assessment • Distributed Traffic Assessment • Vehicle-to-Vehicle Networks • V2V2I Safety Applications • Current/Future Projects

  3. ITS • Intelligent Transportation Systems consist of technologies that are used to improve any aspect of transportation • Cruise control • Automated cruise control • Seatbelt notification • Assisted parallel parking • Real-time traffic • Signal timings • Signal fleeting/Vehicle platooning • Snow plow tracking • V2X – Vehicle-to-Infrastructure (V2I), Vehicle-to-Vehicle (V2V), Vehicle-to-Pedestrian (V2P), and Vehicle-to-Grid (V2G) architectures aid ITS applications

  4. VANETs • A Vehicular Ad-Hoc Network (VANET) is a group of vehicles that are able to communicate directly with each other, forming a mobile network • The technology used to communicate between the vehicles could be 802.11b/g/n, 802.11p, DSRC, LTE, Bluetooth, 802.15.4, Xbee, or any other wireless protocol • Pure V2V networks have limited applications because of the distribution of the network • The amount of data transmitted between vehicles will be less than the total data received by a central infrastructure

  5. VANET Applications • Safety • Intersection notification • Front vehicle braking • Emergency beacons • Informational/Diagnostic • Lane closed ahead • Real-time mechanic diagnostics • Congestion notification • Environmental • Ice on road ahead • Vehicle emissions • Infotainment • Browsing the web, streaming videos • Mobile gaming Autonomous Vehicles

  6. Traffic Assessment

  7. Discrete Traffic Gathering

  8. Discrete Traffic Gathering

  9. Distributed Data Gathering • Individual vehicles have been able to transmit data to a central infrastructure for many years • Devices can be installed in vehicles or be traveling with the vehicles • These devices can report speed, location, and many other vehicular parameters • This allows real-time data to be gathered in a continuous fashion

  10. V2V and V2I Architectures

  11. Vehicle Tracking Devices

  12. Vehicle Tracking Devices

  13. Vehicle Tracking Devices

  14. Vehicle Tracking Devices

  15. Snow Plow Tracking

  16. Cellular Tracking Devices

  17. Privacy Concerns • Depending on the application, privacy may or may not be a concern • Data that is displayed to the public needs to remain anonymous, even though there is a unique identifier transmitted • For real-time traffic assessment, the location of the device should not exposed to the public, but only a map showing an aggregation of the data

  18. Test Platform • Currently, we have 65 vehicles being tracked • Volunteers • VPSI Share-A-Ride vans • Delivery freight vehicles • We have agreements for 80 freight vehicles to be tracked • We have a few vehicles using smartphones (iPhone, Blackberry, and Android-based phones) • We have over 2.3 million data points that have been reported since December 2009

  19. Current Results - FreeSim

  20. Current Results - FreeSim

  21. Vehicle Slippage/Tracking Snow Plows

  22. Additional Information • The data shown on http://www.alaskatraffic.net stays live for 30 minutes if no other vehicle drives along the roadway • We are trying to assess if that length of time still reports accurate data or if the data is stale in a period less than that • The project is free and open-source, and it is being used by other universities around the world in conjunction with departments of transportation • We have determined travel times along certain arterials and can aggregate the data we have over periods of time

  23. V2V2I Safety Applications

  24. Emergency Beacons • In disconnected environments, how would you notify emergency response vehicles if you needed help? • In mountainous or remote areas, what if a crash has rendered the driver helpless and out of sight of passing vehicles? • Emergency beacons can be used to notify passing vehicles, who can then notify emergency vehicles when they are within range

  25. V2V2I Architecture

  26. Current/Future Work • Currently designing a hardware robotic test bed with 1:24 scale vehicles communicating over 802.15.4 with a server and a video camera acting as the GPS satellites • The vehicles will be autonomous, configured with video cameras and able to perform V2V and V2I communication • Determining location of vehicle slippage based on OBD data, including ABS and tire rotation • Tracking snow plows and determining when the blade is down (meaning that the vehicle is plowing) • This will then be displayed on a map for the public to see which roads have been plowed and a predictor as to when other roads will be plowed • Testing these algorithms in a live environment, communicating with 802.11p and DSRC • The US FCC has already standardized vehicular communication using DSRC with 75MHz allocated on the 5.9GHz band • The IEEE has standardized 802.11p for vehicular communication

  27. Questions?