Game theoretic lane change strategy for cooperative vehicles under perfect information

Andres Ladino, Meng Wang

Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientificpeer-review

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Abstract

Lane change maneuvers are main causes of traffic turbulence at highway bottlenecks. We propose a dynamic game framework to derive the system optimum strategy for a network of cooperative vehicles interacting at a merging bottleneck. Cooperative vehicles on the highway mainline seek for optimal strategies (i.e., whether and when to perform courtesy lane change to facilitate the merging vehicle) to minimize their cost, while taking into account potential future interactions at the merging section while minimizing the distance traveled on the acceleration lane. An optimal strategy is found by minimizing the joint cost of all interacting vehicles while respecting behavioral and physical constraints. Numerical examples show the feasibility of the approach in capturing the nature of conflict and cooperation during the merging process, and demonstrate the benefits of sharing information and cooperative control for connected and automated vehicles.
Original languageEnglish
Title of host publicationTraffic Information and Control
EditorsRuimin Li , Zhengbing He
PublisherInstitution of Engineering and Technology
Pages147-162
Number of pages16
ISBN (Electronic)9781839530265
ISBN (Print)9781839530258
DOIs
Publication statusPublished - 2021

Keywords

  • road traffic control
  • roads
  • road vehicles
  • game theory
  • road safety
  • road traffic
  • traffic engineering computing

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