交通运输系统工程与信息

交通运输系统工程与信息 ›› 2025, Vol. 25 ›› Issue (3): 117-131.DOI: 10.16097/j.cnki.1009-6744.2025.03.011

• 智能交通系统与信息技术 • 上一篇    下一篇

考虑货车影响的匝道合流区车辆微观换道行为建模

龙科军1a,1b，寇诗雨1a,1b，邢璐*1a,1b,2，高志波1a,1b，唐幼仪1a,1b，费怡1a,1b   

  1. 1. 长沙理工大学，a.交通运输工程学院，b.智能道路与车路协同湖南省重点实验室，长沙410114；2. 清华大学，自动化系，北京100084
  • 收稿日期:2024-11-08 修回日期:2025-01-20 接受日期:2025-02-10 出版日期:2025-06-25 发布日期:2025-06-20
  • 作者简介:龙科军(1974—)，男，湖南双峰人，教授。
  • 基金资助:
    国家自然科学基金(52172313)；中国博士后科学基金面上项目(2023M731962)；湖南省“三尖”创新人才工程项目(2023RC3143)。

Modeling Lane-changing Behavior in Ramp Merging Areas Considering Influence of Truck Oppression

LONG Kejun1a,1b, KOU Shiyu1a,1b, XING Lu*1a,1b,2, GAO Zhibo1a,1b, TANG Youyi1a,1b, FEI Yi1a,1b   

  1. 1a. School of Traffic and Transportation Engineering, 1b. Hunan Key Laboratory of Smart Roadway and Cooperative Vehicle-infrastructure Systems, Changsha University of Science &Technology, Changsha 410114, China; 2. Department of Automation, Tsinghua University, Beijing 100084, China
  • Received:2024-11-08 Revised:2025-01-20 Accepted:2025-02-10 Online:2025-06-25 Published:2025-06-20
  • Supported by:
    National Natural Science Foundation of China(52172313)；China Postdoctoral Science Foundation (2023M731962)；Hunan Three Tips (Top, Leading, Budding) Innovation Talent Program (2023RC3143)。

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摘要： 为精确刻画匝道合流区客货混行条件下的车辆微观换道行为，本文以量化客货交互为切入点，构建并验证考虑货车影响的微观换道模型。首先，引入“压迫”概念，构建改进Morse势函数模型描述周边货车行驶对小汽车横纵驾驶行为产生的“压迫”影响；随后，分析小汽车换道过程中的横纵向“压迫”变化，提出一种考虑货车“压迫”影响的车辆换道决策模型(Modified Morse-Based Lane-Changing model, MMBLC)；最后，基于实测轨迹数据进行数值仿真，验证模型的稳定性与有效性，并进一步利用Python与SUMO(Simulation of Urban Mobility)联合仿真，对比MMBLC模型和现有换道模型在交通流中的表现。结果表明：在稳定性分析中，MMBLC模型对交通流的影响更小，恢复稳定的速度更快；在货车占比30%和交通量3600veh·h-1的主路3车道客货混行匝道合流区中，MMBLC模型相比LC2013和MOBIL(Model of Optimal Control Based on Interacting Trajectories)模型，换道成功率分别提高11.9%和53.1%，危险场景占比分别降低10.5%和52.8%。

关键词: 交通工程, 换道模型, 分子动力学, 客货混行, 货车压迫, 匝道合流区

Abstract: To accurately characterize the microscopic lane-changing behavior of vehicles in ramp merging areas under mixed passenger and freight conditions, this study constructs and validates a microscopic lane-changing model that considers the influence of trucks, using the quantification of car-truck interactions as a starting point. First, the concept of "oppression" is introduced, and an improved Morse potential function model is developed to describe the impact of surrounding trucks on the lateral and longitudinal driving behavior of passenger cars. Then, the changes in lateral and longitudinal "oppression" during the lane-changing process of passenger cars are analyzed, leading to the proposal of a vehicle lane-changing decision model that incorporates truck "oppression" effects: the Modified Morse-Based Lane-Changing model (MMBLC). Finally, numerical simulations based on real trajectory data are conducted to verify the stability and effectiveness of the model. Additionally, Python and SUMO (Simulation of Urban Mobility) are used for joint simulations to compare the performance of the MMBLC model with existing lane-changing models in traffic flow. The results show that, in stability analysis, the MMBLC model has a smaller impact on traffic flow and recovers stability more quickly. In a three-lane main road ramp merging area with a truck proportion of 30% and a traffic volume of 3600 vehicles per hour, the MMBLC model improves lane-changing success rates by 11.9% and 53.1% compared to the LC 2013 and MOBIL (Model of Optimal Control Based on Interacting Trajectories) models, respectively, while reducing the proportion of hazardous scenarios by 10.5% and 52.8%.

Key words: traffic engineering, lane change model, molecular dynamics, passenger and freight traffic, truck pressure, ramp merging area

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