Online Cooperative Lane-Changing Model of Connected and Autonomous Vehicles

Details

• Creators:
  Fan, Wei ; Zhao, Yang
• Corporate Creators:
  University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education
• Corporate Contributors:
  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
  • Highway capacity
  • Impacts
  • Lane changing
  • Market penetration
  • Methodology
  • Mobility
  • Real time information
  • Traffic congestion
  More +
• Publication/ Report Number:
  CAMMSE-UNCC-2022-UTC-Project-03
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report
• Corporate Publisher:
  University of North Carolina at Charlotte. Center for Advanced Multimodal Mobility Solutions and Education
• Abstract:
  The main goal of this research is to construct an online cooperative LC decision and planning model. The objectives of this project are to 1) conduct a comprehensive literature review on cooperative LC decisions and planning of CAVs; 2) focus on the trajectory optimization model from the perspective of multi-objectives including safety, stability, and comfort of passengers, and improve the online algorithm’s computational efficiency; 3) analyze the disturbance effect of LC maneuver on traffic flow characteristics; and 4) rebuild the LC decision models in a cooperative manner with more than two CAVs in two lanes.
• Format:
  PDF
• Funding:
  69A3551747133
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/64525/dot_64525_DS1.pdf
• File Type:
  [PDF - 1.38 MB]
• Collection(s):
  Autonomous Vehicles ; University Transportation Centers
• Main Document Checksum:
  urn:sha-512:ac658402d62efe807584a6aa95926c2ecfc507f20bf9fa331fdb39df812dea9af1a1a30ece6254cfbaee904c3f5db7a6e1087f9fdbf149b653e9987feab7ba12