北京航空航天大学学报 ›› 2019, Vol. 45 ›› Issue (2): 422-428.doi: 10.13700/j.bh.1001-5965.2018.0662

• 论文 • 上一篇    

考虑临近车道行人对交通流影响的改进跟驰模型

李宏刚1, 高哈尔·达吾力1, 王帅2, 余贵珍1, 王朋成1   

  1. 1. 北京航空航天大学 交通科学与工程学院, 北京 100083;
    2. 北京航空航天大学 计算机学院, 北京 100083
  • 收稿日期:2018-11-16 出版日期:2019-02-20 发布日期:2019-03-04
  • 通讯作者: 王帅 E-mail:wangshuai@buaa.edu.cn
  • 作者简介:李宏刚男,博士研究生。主要研究方向:智能交通系统、交通跟驰模型;王帅女,助理研究员。主要研究方向:人工智能、智慧城市。
  • 基金资助:
    国家自然科学基金(U1564212)

An improved car-following model considering effect of pedestrians of adjacent lane on traffic flow

LI Honggang1, Gaohaer·DAWULI1, WANG Shuai2, YU Guizhen1, WANG Pengcheng1   

  1. 1. School of Transportation Science and Engineering, Beihang University, Beijing 100083, China;
    2. School of Computer Science and Engineering, Beihang University, Beijing 100083, China
  • Received:2018-11-16 Online:2019-02-20 Published:2019-03-04
  • Supported by:
    National Natural Science Foundation of China (U1564212)

摘要: 基于实际人车混合行驶的情形,提出了一个改进的车辆动力学模型。该模型考虑了邻车道或横向的行人、自行车等对主干道车辆的驾驶行为影响。基于经典的最优速度模型,将主干道车辆与行人之间的横向距离和纵向距离作为参数引入最优速度模型中。为了验证所提模型的稳定性和有效性,利用线性稳定性理论,推导出模型的稳定性条件和非稳定性条件,绘制中性稳定性曲线,直观描述了交通流稳定区域大小。理论结果表明:考虑横向行人干扰因素的改进跟驰模型比传统的只考虑单一车道车辆因素的跟驰模型更加的稳定,并且不同参数的变化,所引起的稳态区域也会发生变化。采用了更加真实的优化速度方程,通过仿真实验来描述车辆的驾驶行为;仿真实验列举了2种实际场景:行人稀少和行人较多时。分别绘制了车辆的速度-时间变化曲线以及车辆的时空图,实验结果表明:横向行人的确会干扰车辆的正常驾驶;不同场景下,行人数量的多寡也会对车辆的驾驶行为造成不同程度的影响。

关键词: 跟驰模型, 最优速度模型, 线性稳定性理论, 人车混合交通, 横向行人干扰因素

Abstract: This paper proposes an improved vehicle dynamics model based on the current situation of mixed-pedestrian-vehicle driving in real life. The model considered the influence of pedestrians, bicycles, etc. on the adjacent lanes or in lateral directions on the driving behavior of the main road vehicles. Based on the classical optimal velocity model, this paper modelled the actual problem and introduced the lateral distance and longitudinal distance between the main road vehicle and the pedestrian as parameters into the optimal velocity model, and expanded to obtain the improved model. In order to verify the stability and effectiveness of the model, this paper used the linear stability theory to derive the stability and non-stable conditions of the model, draw a neutral stability curve, and visually describe the size of the traffic flow stability area. It is shown that the improved model considering the lateral pedestrian interference factor is more stable than the traditional car-following model considering only the single-lane vehicle factor, and the steady-state region caused by the change of different parameters also changes. This paper adopted a more realistic optimization of the velocity equation and described the driving behavior of the vehicle through simulation experiments. The simulation experiment lists two kinds of practical scenarios:when pedestrians are scarce and when pedestrians are more. The velocity-time curve of the vehicle and the space(distance)-time curve of the vehicle were plotted separately. The experimental results show that the lateral pedestrians do interfere with the normal driving of the vehicle; in different scenarios, the number of pedestrians will also affect the driving behavior of the vehicle to varying degrees.

Key words: car-following model, optimal velocity model, linear stability theory, mixed-pedestrian-vehicle traffic, lateral pedestrian interference factor

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