Safe and Efficient Automated Freeway Traffic Control- Phase 2 Final Report

Details

• Creators:
  Coifman, Benjamin ; Liu, Yuan
• Corporate Creators:
  Ohio State University. Department of Civil and Environmental Engineering
• Corporate Contributors:
  Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC) ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  Autonomous Vehicles Connected Vehicles Macroscopic Traffic Flow Traffic Characteristics Traffic Congestion Traffic Queuing Traffic Safety Vehicle Trajectories
• Publication/ Report Number:
  500
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report (July 1, 2024 – June 30, 2025)
• Corporate Publisher:
  Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC)
• Abstract:
  The goal of this work is to eliminate unexpected stops to improve safety with the added benefit of reducing accelerations to improve fuel efficiency and reduce vehicle emissions. Congested traffic is characterized by signals and waves propagating upstream through the queued traffic. Freeway drivers do not expect to encounter abrupt drops in speed or stopped traffic, as a result, shockwaves sharply increase the accident rates, particularly in the context of rear end collisions. This work seeks to use connected and automated vehicles (CAV) to smooth out traffic disturbances on a freeway. Prior work in Phase 1 developed a method for a single CAV to integrate the instantaneous state information from the downstream vehicles to forecast the trajectory of the CAV's leader and proactively respond to changes in state that have not yet reached the lead vehicle. This study, Phase 2, extended the methodology to a platoon of 15 CAV's, leading to greater smoothing than the single CAV results of the prior work. Then the methodology is extended further to accommodate entering vehicles from lane change maneuvers.
• Format:
  PDF
• Funding:
  69A3552344811, 69A3552348316
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:57dc99e67c28090d91f8605a070f865500588562550f4a8a4886df7e3df5a554526252081f046805150b7ff9f32ff294b0151a073e28aec1938758a18ca79f17
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/85737/dot_85737_DS1.pdf
• File Type:
  [PDF - 15.16 MB ]