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A review of vehicle lane change research

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  • Ma, Changxi
  • Li, Dong

Abstract

Vehicle lane change behavior, which is an important part of traffic flow theory, can have a fundamental impact on the macro and micro characteristics of traffic flow. At the same time, it has an important impact on the safety and throughput of the traffic system of road vehicles. Understanding vehicle changes is of great significance to the popularization of autonomous driving and ensuring the safety of human life and property. In order to conduct a systematic review of vehicle lane change research, the paper retrieves literature related to vehicle lane change from the Web of science database, and uses the VOSviewer bibliometric tool to analyze and visualize the literature data in various aspects. Further, a comprehensive review of existing models in vehicle lane change behavior decision and lane change trajectory is conducted and the advantages and disadvantages of each model are evaluated. Additionally, the lane change models are categorized based on their traits, with a recognition of the restrictions of current lane change models. Then, the existing research results are further discussed and more promising research directions are proposed. Finally, the research results and conclusions of this paper are summarized.

Suggested Citation

  • Ma, Changxi & Li, Dong, 2023. "A review of vehicle lane change research," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 626(C).
    • Handle: RePEc:eee:phsmap:v:626:y:2023:i:c:s0378437123006155
    DOI: 10.1016/j.physa.2023.129060
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    References listed on IDEAS

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    Cited by:

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    2. Ruru Hao & Tiancheng Ruan, 2024. "Advancing Traffic Simulation Precision and Scalability: A Data-Driven Approach Utilizing Deep Neural Networks," Sustainability, MDPI, vol. 16(7), pages 1-16, March.
    3. Wang, Zhangu & Guan, Changming & Zhao, Ziliang & Zhao, Jun & Qi, Chen & Hui, Zilaing, 2024. "Expressway lane change strategy of autonomous driving based on prior knowledge and data-driven," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 640(C).
    4. Guo, Yinjia & Chen, Yanyan & Gu, Xin & Guo, Jifu & Zheng, Shuyan & Zhou, Yuntong, 2024. "Dynamic traffic graph based risk assessment of multivehicle lane change interaction scenarios," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 643(C).

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