交通运输系统工程与信息

交通运输系统工程与信息 ›› 2021, Vol. 21 ›› Issue (1): 69-74.

• 智能交通系统与信息技术 • 上一篇    下一篇

基于车辆轨迹的信号交叉口机非冲突判别

龙科军1a,1b，张燕1b，邹志云*2，谷健1a,1b，郝威1a,1b   

  1. 1. 长沙理工大学，a. 智能道路与车路协同湖南省重点实验室，b. 交通运输工程学院，长沙 410114； 2. 华中科技大学，土木工程与力学学院，武汉 430074
  • 收稿日期:2020-08-07 修回日期:2020-10-19 出版日期:2021-02-25 发布日期:2021-02-25
  • 作者简介:龙科军(1974- )，男，湖南双峰人，教授。
  • 基金资助:

    湖南省重点领域研发计划项目/Hunan Provincial Key Research and Development Program(2019SK2171)；国家自然科学基金/National Natural Science Foundation of China(51678076)；湖南省研究生科研创新项目/Hunan Province Research and Innovation Project of Graduate Students（CX2019667）。

Vehicle and Non-motorized Vehicle Traffic Conflict Recognition at Signalized Intersection Based on Vehicle Trajectory

LONG Ke-jun1a,1b, ZHANG Yan1b, ZOU Zhi-yun*2, GU Jian1a,1b, HAO Wei1a,1b   

  1. 1a. Hunan Key Laboratory of Smart Roadway and Cooperative Vehicle-Infrastructure System, 1b. School of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, China; 2. School of Civil Engineering & Mechanics, Huazhong University of Science and Technology, Wuhan 430074, China
  • Received:2020-08-07 Revised:2020-10-19 Online:2021-02-25 Published:2021-02-25

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摘要：

选取长沙市中心区4个典型信号交叉口，利用视频轨迹追踪软件，提取右转机动车与直行非机动车的冲突交通流轨迹数据。以减速、换道等避险行为与可能发生碰撞(距离碰撞点时间小于2 s)为依据，采集机非冲突样本；选择距离碰撞最大时间(MTTC)和冲突时间差(TDTC)作为评价指标，提出一种基于交通流运行轨迹的改进型TTC(Time to Collision)法的机非冲突判别方法。选择某实例交叉口，分别采用TTC法、改进型TTC法和后侵入时间(PET)法，评估得到右转机动车与直行非机动车的冲突数，分别为7，24，22次。结果表明，传统的TTC法低估了交叉口的机非冲突水平，改进型TTC法的判别准确率提高了2.14倍，证明了方法的可行性。

关键词: 交通工程, 冲突时间差, 距离碰撞最大时间, 机非冲突, 车辆轨迹

Abstract:

This study investigated four typical signalized intersections in the downtown area of Changsha, and then used video trajectory tracking software to extract the conflicting trajectory data of right-turning vehicles and through movement non- motorized vehicles. Based on the risk- avoidance behaviors such as decelerating, lane changing and likely colliding (the time from the collision point is less than 2 seconds), the study collected 254 samples of vehicle and non-motorized vehicle traffic conflicts. To improve the traditional conflict recognition model, this study selected the maximum time to collision (MTTC) and the time difference to collision (TDTC) as the evaluation index, and proposed a modified TTC (Time To Collision) model to identify the vehicle and non- motorized vehicle conflict. A real intersection was then used for the empirical study. The number of traffic conflicts calculated by the TTC model, the modified TTC model and the post encroachment time (PET) model were 7, 24, and 22, respectively. The results indicate that the traditional TTC method underestimates the level of conflict between vehicles and non- motorized vehicles at intersections. The accuracy rate of improved TTC method is increased by 2.14 times, which proves the feasibility of the proposed method.

Key words: traffic engineering, time difference to collision (TDTC), maximum time to collision (MTTTC), vehicle and non-motor vehicle traffic conflict, vehicle trajectory

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