Improving intersection safety through variable speed limits for connected vehicles

Autonomous vehicles create new opportunities for innovative intelligent traffic systems. Variable speed limits (VSLs), which are speed-management systems that can adjust the speed limit according to traffic conditions or a predefined speed-control algorithm on different road segments, can be better implemented with the cooperation of autonomous vehicles. These compliant vehicles can automatically follow speed limits. However, non-compliant vehicles will attempt to pass the moving bottleneck created by the compliant vehicle. This project builds a multi-class, cell-transmission model to represent the relationship between traffic-flow parameters. This model calculates flows of both compliant and non-compliant vehicles. An algorithm is proposed to calculate variable speed limits for each cell of the cell-transmission model. This control algorithm is designed to reduce the stop-and-go behavior of vehicles at traffic signals. Simulation is used to test the effects of VSLs on an example network. The result shows that VSLs are effective at reducing the energy consumption of the whole system and they reduce the likelihood of crash occurrence.

Language

  • English

Project

  • Status: Active
  • Funding: $100000
  • Contract Numbers:

    DTRT13-G-UTC35

    CTS-2018055

  • Sponsor Organizations:

    Research and Innovative Technology Administration

    University Transportation Centers Program
    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590

    Roadway Safety Institute

    University of Minnesota
    Minneapolis, MN  United States  55455

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Project Managers:

    Stearns, Amy

  • Performing Organizations:

    University of Minnesota Department of Civil, Environmental and Geo-Engineering

    500 Pillsbury Drive SE
    Minneapolis, MN  United States  55455
  • Principal Investigators:

    Levin, Michael

  • Start Date: 20180226
  • Expected Completion Date: 20190531
  • Actual Completion Date: 0

Subject/Index Terms

Filing Info

  • Accession Number: 01664801
  • Record Type: Research project
  • Source Agency: Roadway Safety Institute
  • Contract Numbers: DTRT13-G-UTC35, CTS-2018055
  • Files: UTC, RiP
  • Created Date: Mar 28 2018 1:15PM