Connectivity-Based Cooperative Ramp Merging in Multimodal and Mixed Traffic Environment

On freeways, ramp merging has been considered as a representative scenario that may cause traffic bottlenecks or hotspots of traffic accidents. Conventionally, ramp metering is adopted as a key strategy to mitigate adverse impacts in the merging areas. In principle, it utilizes traffic signal operation (usually consisting of two-phase signal timing, i.e., green and red) at the on-ramp to regulate inflow rate of the traffic entering the mainline in response to prevailing mainline traffic conditions in order to avoid downstream traffic demands exceeding roadway capacities. Existing ramp metering strategies mainly rely on traffic detection from sensors (e.g., inductive loop detectors) at fixed locations to provide inputs for signal control at on-ramps. However, these strategies introduce additional stop-and-go maneuvers for the on-ramp traffic, leading to additional delays and energy consumption. In addition, under some scenarios (e.g., short or lack of acceleration lane), on-ramp vehicles (especially heavy-duty trucks) may experience difficulties accelerating to a desired speed for safe and comfortable merging maneuvers. Thanks to advances in connected and automated vehicle (CAV) technology, more efficient ramp merging strategies have been developed. Nevertheless, most existing CAV-based ramp merging strategies assume that all the vehicles are CAVs or do not differentiate vehicle type (i.e., passenger cars vs. heavy-duty trucks). In this study, it is proposed to develop and evaluate a vehicle-to-everything (V2X) based cooperative ramp merging system that takes into account the heterogeneity of traffic flows, i.e., multimodal (cars and trucks) and mixed (connected and non-connected vehicles), in the real world. In response to the type and connectivity of involved vehicles during merging, the proposed system will provide the optimal strategy to encourage cooperative driving for 2 mitigating any adverse impacts from the merging maneuvers. Furthermore, a Unity-SUMO cosimulation platform will be set up and a multi-player-in-the-loop simulation approach will be adopted to validate the proposed system and evaluate its effectiveness from both the driver’s and traffic operator’s perspectives.

    Language

    • English

    Project

    • Status: Active
    • Funding: $99,999.00
    • Sponsor Organizations:

      Department of Transportation

      Federal Motor Carrier Safety Administration
      1200 New Jersey Avenue, SE
      Washington, DC    20590
    • Managing Organizations:

      METRANS Transportation Center

      University of Southern California
      Los Angeles, CA  United States  90089-0626
    • Project Managers:

      Brinkerhoff, Cort

    • Performing Organizations:

      University of California, Riverside

      Center for Environmental Research and Technology
      900 University Avenue
      Riverside, CA  United States  92521-0425
    • Principal Investigators:

      Wu, Guoyuan

    • Start Date: 20210916
    • Expected Completion Date: 20220915
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers

    Subject/Index Terms

    Filing Info

    • Accession Number: 01775604
    • Record Type: Research project
    • Source Agency: METRANS Transportation Center
    • Files: RIP
    • Created Date: Jun 29 2021 5:05PM