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汽车安全与节能学报

汽车安全与节能学报 ›› 2022, Vol. 13 ›› Issue (2): 333-340.DOI: 10.3969/j.issn.1674-8484.2022.02.014

• 智能驾驶与智慧交通 • 上一篇    下一篇

微观轨迹数据驱动的交织区换道概率分布模型

刘兵1,2(), 王锦锐2, 谢济铭2, 陈金宏1, 段国忠1, 叶保权1, 侯效伟1, 彭博3,*()   

  1. 1.云南省交通投资建设集团有限公司,昆明650103,中国
    2.昆明理工大学 交通工程学院,昆明650500,中国
    3.重庆交通大学 交通运输学院,重庆 400074
  • 收稿日期:2021-12-24 修回日期:2022-04-10 出版日期:2022-06-30 发布日期:2022-07-01
  • 通讯作者: 彭博
  • 作者简介:*彭博(1986—),男(汉),四川,副教授。E-mail: pengbo@cqjtu.edu.cn。
    刘兵(1986—),男(汉),云南,高级工程师。E-mail: 273074408@qq.com。
  • 基金资助:
    重庆市基础前沿与技术创新项目(cstc2017jcyj AX0473)

Microscopic trajectory data-driven probability distribution model for weaving area of channel change

LIU Bing1,2(), WANG Jinrui2, XIE Jiming2, CHEN Jinhong1, DUAN Guozhong1, YE Baoquan1, HOU Xiaowei1, PENG Bo3,*()   

  1. 1. Yunnan Communications Investment & Construction Group CO., LTD. Kunming 650103, China
    2. School of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500, China
    3. College of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, China
  • Received:2021-12-24 Revised:2022-04-10 Online:2022-06-30 Published:2022-07-01
  • Contact: PENG Bo

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摘要：

为探析城市快速路交织区复杂的车辆换道行为,基于车辆微观轨迹数据,构建一种考虑换道频率分布的交织区元胞自动机模型。利用高空视频提取交织区全样本车辆换道信息,考虑驾驶人实际决策时间与安全优先意识,结合交织区车辆换道预判、换道间距,分别建立换道动机、换道时机规则,并逐级进行换道时机决策;采用流量、密度、速度、换道频率分布等参数对模型进行评价。结果表明：所构建的元胞自动机模型较为有效,流量、密度、速度的相对误差分别为0.7%、1.4%、1.6%,不同方向换道次数误差为2.97%~22.98%,换道分布与实测数据基本相符,可有效模拟交织区瓶颈现象,反映真实换道需求,描述实际运行状态。

关键词: 交通运输规划与管理, 交织区, 换道频率, 元胞自动机

Abstract:

A meta-cellular automaton model for the intertwined region was constructed to analyze the complex vehicle lane change behavior in the weaving area of urban expressways considering the frequency distribution of lane change based on vehicle micro-trajectory data. The overhead video was used to extract the full sample of vehicle lane change information in the weaving area. Considering the actual decision time and safety priority awareness of drivers, the vehicle lane change prediction and lane change spacing in the weaving area were combined, and the lane change motivation and lane change timing rules were established respectively. Subsequently, the lane change timing decisions can be made step by step. The model was evaluated with parameters such as flow rates, density, velocities and channel change frequency distribution. The simulation results show that the constructed meta-cellular automata model is more effective, and the relative errors of flow, density and speed are 0.7%, 1.4% and 1.6%, respectively, and the errors of the number of lane changes in different directions are 2.97%~22.98%, and the distribution of lane changes is basically consistent with the measured data, which can effectively simulate the bottleneck phenomenon in the interweaving area, and reflect the real demand for lane changes and describe the actual operation state.

Key words: transportation planning and management, weaving area, frequency of lane change, cellular automaton

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