交通运输系统工程与信息

交通运输系统工程与信息 ›› 2020, Vol. 20 ›› Issue (4): 71-76.

• 智能交通系统与信息技术 • 上一篇    下一篇

基于行人影响的信号交叉口右转车辆跟驰模型

魏福禄1,2 ，张斐然1 ，郭永青*1 ，刘 攀2 ，郭 栋1   

  1. 1.山东理工大学 交通与车辆工程学院，山东 淄博 255000；2.东南大学 交通学院，南京 210096
  • 收稿日期:2020-04-01 修回日期:2020-05-24 出版日期:2020-08-25 发布日期:2020-08-25
  • 作者简介:魏福禄（1984-），男，山东蓬莱人，讲师.
  • 基金资助:

    国家杰出青年科学基金/ National Science Fund for Distinguished Young Scholars of China(51925801)；国家自然科学基金/National Natural Science Foundation of China(71901134)；江苏省博士后科研资助计划/Jiangsu Province Postdoctoral Science Foundation(2018K118C).

Right Turn Car-following Model of Signalized Intersection Based on Pedestrian Influence

WEI Fu-lu1,2 , ZHANG Fei-ran1 , GUO Yong-qing1 , LIU Pan2 , GUO Dong1   

  1. 1. School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, Shandong, China; 2. School of Transportation, Southeast University, Nanjing 210096, China
  • Received:2020-04-01 Revised:2020-05-24 Online:2020-08-25 Published:2020-08-25

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摘要：

为探究在不同场景下行人对信号交叉口右转车辆跟驰行为的影响，采用无人机采集信号交叉口视频录像，通过视频分析技术提取信号交叉口右转车辆跟驰数据，提出考虑行人过街平均流率影响的右转车辆优化速度函数，构建不同场景下基于行人影响的信号交叉口右转车辆跟驰模型，并对模型进行参数标定和仿真验证.结果表明，保守驾驶员为避免人车冲突会先减速后停车，等待20 s可放行约27人；激进的驾驶员选择在过街行人间隙强行穿越人行横道，穿行前平均速度由13.8 m/s降至8.3 m/s，穿越完成后加速离开，速度波动较小，符合实际情形.

关键词: 城市交通, 右转弯跟驰模型, 视频分析, 右转车辆, 信号交叉口, 行人影响, 优化速度函数

Abstract:

In order to explore the impact of pedestrian influence on the right turn car- following behavior at signalized intersections in different scenarios, UAV was employed to collect video recordings of signalized intersection. And then, the right turn car-following data of signalized intersection was extracted by video analysis technology. Considering the influence of average pedestrian flow rate, a right turn vehicle optimal velocity function was proposed. Thus, a right turn car-following model based on pedestrian influence was built in different scenarios, and the model parameters were calibrated and verified by simulation. The numerical results illustrate that (1) conservative drivers slow down before stopping in order to avoid collision, and about 27 pedestrians can be released after waiting for 20 s; (2) radical drivers choose to force their way across pedestrian crosswalk between pedestrians, and before crossing, the average speed decrease from 13.8 m/s to 8.3 m/s. After the completion of the crossing, the driver accelerate to leave, and the speed fluctuation is smaller, which is more in line with actual situation.

Key words: urban traffic, right turn car- following model, video analysis, right turning vehicle, signalized intersection, pedestrian influence, optimal velocity function

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