Cooperative Weaving for Connected and Automated Vehicles to Mitigate Traffic Oscillation

In weaving area, vehicles frequently carry out conflicting lane-changing maneuvers. The frequent lane change in this area results in rapid changes in vehicles’ speed, which in turn reduces traffic efficiency and create traffic bottlenecks at weaving areas. This research proposes a cooperative weaving motion planner for connected and automated vehicles to mitigate the traffic oscillation. The proposed motion planner is based on model predictive control method and solved by a Chang-Hu’s method. The controller only requires longitudinally automation which is accessible for most luxury vehicles. Simulation evaluation was conducted to quantify the performance of the proposed motion planner. The results show that the proposed motion planner is able to reduce traffic oscillation by 5.2 % to 28.0 %. Furthermore, the proposed controller is quite efficient with a computation time of less than 20 milliseconds.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee AHB30 Standing Committee on Vehicle-Highway Automation.
  • Corporate Authors:

    Transportation Research Board

  • Authors:
    • Bai, Yu
    • Zhang, Yu
    • Hu, Jia
    • Fan, Jing
  • Conference:
  • Date: 2019


  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; References;
  • Pagination: 5p

Subject/Index Terms

Filing Info

  • Accession Number: 01697433
  • Record Type: Publication
  • Report/Paper Numbers: 19-04099
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 7 2018 9:27AM