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.

• Record URL:
  http://safersim.nads-sc.uiowa.edu/research_new.php?sp=95

Language

• English

Project

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

  69A3551747131

• 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

• TRT Terms: Algorithms; Autonomous vehicles; Connected vehicles; Driving simulators; Evacuation; Hurricanes; Traffic congestion; Traffic flow; Traffic simulation
• Subject Areas: Highways; Operations and Traffic Management; Safety and Human Factors; Vehicles and Equipment;

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