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Journal of Intelligent and Connected Vehicles 2024年第1期7卷 38-51页

作者： Jia Shi Yugong Luo Pengfei Li Jiawei Wang Keqiang Li School of Vehicle and Mobility Tsinghua UniversityBeijing 100084China Department of Civil and Environmental Engineering University of MichiganAnn ArborMI 48109USA

The on-ramp merging in multi-lane highway scenarios presents challenges due to the complexity of coordinating vehicles’merging and lane-changing behaviors,while ensuring safety and optimizing traffic ***,there are few studies that have addressed the merging problem of ramp vehicles and the cooperative lane-change problem of mainline vehicles within a unified framework and proposed corresponding optimization *** tackle this issue,this study adopts a cyber-physical integration perspective and proposes a graph-based solution ***,the information of vehicle groups in the physical plane is mapped to the cyber plane,and a dynamic conflict graph is introduced in the cyber space to describe the conflict relationships among vehicle ***,graph decomposition and search strategies are employed to obtain the optimal solution,including the set of mainline vehicles changing lanes,passing sequences for each route,and corresponding ***,the proposed dynamic conflict graph-based algorithm is validated through simulations in continuous traffic with various densities,and its performance is compared with the default algorithm in *** results demonstrate the effectiveness of the proposed approach in improving vehicle safety and traffic efficiency,particularly in high traffic density scenarios,providing valuable insights for future research in multi-lane merging strategies.

关键词： cooperative merging multi-lane graph theory cyber-physical integration system

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