Exploring Cooperative Lane Change Decisions in Vehicle-to-Infrastructure – A Potential Conflict Analysis Approach

lane-changing model vehicle-to-infrastructure technology lane-changing conflict lane-changing impact range lane-changing priority

Authors

  • Xushan FANG
    1546205783@qq.com
    College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou, China
  • Wei HUANG College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou, China
  • Linkai ZHONG College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou, China
  • Peikun LIAN College of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou, China
  • Ning CHEN Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China

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Vehicle-to-infrastructure (V2I) technology enables information interaction between vehicles and among vehicles and infrastructure, significantly enhancing the efficiency of lane-changing processes and stabilising traffic flow. Current research primarily focuses on single lane-changing events in fixed micro-level scenarios or studies involving small-scale vehicle fleets, neglecting the randomness of lane-changing vehicle arrivals and potential conflicts during lane-changing. This paper proposes a lane-changing decision model based on potential conflict analysis, specifically tailored to mandatory lane-changing requirements in high-density traffic conditions. The model comprises sub-models for lane-changing decision triggering, influence range calculation and lane-changing priority determination, capable of dynamically adjusting the lane-changing sequence, mitigating lane-changing conflicts, and improving driving safety and traffic efficiency. Simulation experiments indicate that, when compared to lane-changing patterns in real-world traffic scenarios, this model reduces travel time by 23.30%, delays by 21.95% and the number of stops by 23.84%, thereby providing a novel approach for lane-changing decision-making and control in V2I environments.