A Co-Simulation Study to Assess the Impacts of Connected and Autonomous Vehicles on Traffic Flow Stability during Hurricane Evacuation

The goal of this project is to assess the potential impact of Connected and Autonomous Vehicles (CAVs) on traffic flow stability during a highly congested situation (e.g., evacuation period) using a co-simulation approach. The project will develop a co-simulation framework integrating a microscopic traffic simulator and a communication simulator, develop a traffic-aware communication routing algorithm that prioritizes traffic stability, develop a Reinforcement Learning (RL)-based controller to train CAV agents to stabilize overall traffic in a highly congested condition, and assess the impact of the connectivity and the RL agent to stabilize the traffic system and reduce the number of potential collisions.


  • English


  • Status: Active
  • Funding: $54500
  • Contract Numbers:


  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    University of Iowa, Iowa City

    National Advanced Driving Simulator, 2401 Oakdale Blvd
    Iowa City, IA  United States  52242-5003
  • Performing Organizations:

    University of Central Florida, Orlando

    Department of Civil, Environmental & Contruction Engineering
    1280 Pegasus Drive, 442B Engineering II
    Orlando, FL  United States  32816
  • Principal Investigators:

    Hasan, Samiul

    Zaki, Mohamed

  • Start Date: 20200701
  • Expected Completion Date: 20220228
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01738849
  • Record Type: Research project
  • Source Agency: Safety Research Using Simulation University Transportation Center (SaferSim)
  • Contract Numbers: 69A3551747131
  • Files: UTC, RIP
  • Created Date: May 7 2020 7:59AM