Algorithms to Convert Basic Safety Messages into Traffic Measures

The U.S. Department of Transportation (USDOT) has invested in research on Vehicle to Infrastructure (V2I) connected vehicle applications. For example, the USDOT has funded the Collision Avoidance Metrics Partnership (CAMP) to develop prototype applications for Red Light Violation Warning, Curve Speed Warning, and Reduced Speed/Work Zone Warning. Similarly, several federal and state-funded projects have developed prototype Signal Phase and Timing (SPaT) safety and eco-driving applications. All of these V2I applications require software inside the vehicle and at the roadside that is specific to the application. The chicken-and-egg problem hinders operational implementation of these applications in that the application cannot be sold as a feature of the vehicle if the infrastructure to support it is not widely available, and justifying deployment of the infrastructure is difficult without any guarantee that any vehicles will have support for the applications. The current NHTSA Notice of Proposed Rulemaking would only require that vehicles be capable of sending and receiving a Basic Safety Message (BSM) using Dedicated Short Range Communication (DSRC). It will not require support for any V2I application. Because the NHTSA rule will require all new vehicles to broadcast a BSM, V2I applications that depend only on listening to the BSM from the vehicle will be the most likely V2I applications to be deployable in the near future. The BSM will contain information such as the car's location, speed, and heading. Installing DSRC roadside units will allow agencies to listen to the messages the cars are broadcasting and calculate estimates of traffic measures such as travel time and travel time reliability, end of queue in a work zone, queue lengths at traffic signals, intersection delay, etc. Under the NHTSA rule, each vehicle will be required to broadcast a BSM 10 times per second. As a result, a stream of traffic will produce a large number of point measurements of speed and heading. Converting this large number of point measurements into estimates of traffic measures will require algorithms and processing. The problem this research will address is developing, validating, and publishing these algorithms so that agencies and vendors can incorporate the algorithms into software to estimate the traffic measures.

Language

  • English

Project

  • Status: Proposed
  • Funding: $400000
  • Contract Numbers:

    Project 03-137

  • Sponsor Organizations:

    National Cooperative Highway Research Program

    Transportation Research Board
    500 Fifth Street, NW
    Washington, DC  United States  20001

    American Association of State Highway and Transportation Officials (AASHTO)

    444 North Capitol Street, NW
    Washington, DC  United States  20001

    Federal Highway Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Project Managers:

    Crichton-Sumners, Camille

  • Start Date: 20180619
  • Expected Completion Date: 0
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01669537
  • Record Type: Research project
  • Source Agency: Transportation Research Board
  • Contract Numbers: Project 03-137
  • Files: TRB, RiP, USDOT
  • Created Date: May 21 2018 3:07PM