Vehicle Platooning for Merge Coordination in a Connected Driving Environment: A Hybrid ACC-DMPC Approach

This study proposes a vehicle platooning algorithm to minimize the disruption from a lane-changing maneuver. Towards achieving this objective, while most studies emphasize the interaction between the lane-changing vehicle and vehicles directly or indirectly impacted by the lane-changing maneuver (i.e., the followers of the lane-changing vehicle in the target lane after the lane-changing maneuver), this study will focus on the leaders of the lane-changing vehicle in the target lane. Assuming the connectivity between vehicles, the authors propose a novel approach to implement both Adaptive Cruise Control (ACC) and Model Predictive Control (MPC) for platoon control. The proposed hybrid algorithm will create a forward-moving shockwave, resulting in an additional gap for the lane-changing vehicle. Simulation results indicate the ability of the proposed approach to generate an additional gap for the lane-changing vehicle and consequently, minimizing and potentially eliminating the disruption from the lane-changing maneuver.

• Record URL:
  http://dx.doi.org/10.1109/TITS.2023.3252567
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
• Supplemental Notes:
  • Copyright © 2023, IEEE.
• Authors:
  • An, Gihyeob
  • Talebpour, Alireza
• Publication Date: 2023-5

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 5239-5248
• Serial:
  • IEEE Transactions on Intelligent Transportation Systems
  • Volume: 24
  • Issue Number: 5
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 1524-9050
  • Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979

Subject/Index Terms

• TRT Terms: Algorithms; Autonomous intelligent cruise control; Connected vehicles; Lane changing; Merging control; Traffic platooning
• Identifier Terms: Model Predictive Control
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01893944
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 22 2023 9:06AM