基于异质性驾驶行为与碰撞的中观交通流仿真

doi:10.16265/j.cnki.issn1003-3033.2019.09.010

中国安全科学学报 ›› 2019, Vol. 29 ›› Issue (9): 64-69.doi: 10.16265/j.cnki.issn1003-3033.2019.09.010

基于异质性驾驶行为与碰撞的中观交通流仿真

史雪莹^1,2, 孙智诚^1,2, 朱彤^**1,2 副教授

1 长安大学汽车学院,陕西西安 710064;
2 汽车运输安全保障技术交通行业重点实验室,陕西西安 710064

收稿日期:2019-06-28 修回日期:2019-08-11 出版日期:2019-09-28 发布日期:2020-10-30
通讯作者: ** 朱彤(1977—),男,浙江诸暨人,博士,副教授,主要从事交通规划与管理等方面的研究。 E-mail:zhutong@chd.edu.cn。
作者简介:史雪莹 (1995—),女,内蒙古包头人,硕士研究生,研究方向为道路交通安全。E-mail:1343156359@qq.com。
基金资助:
广东省道路运输管理局科技处项目(KJXM2016-001)。

Mesoscopic traffic flow simulation based on heterogeneous driving behaviors and collision

SHI Xueying^1,2, SUN Zhicheng^1,2, ZHU Tong^1,2

1 School of Automobile, Chang'an University, Xi'an Shaanxi 710064, China;
2 Key Laboratory of Automotive Transportation Safety Enhancement Technology, Ministry of Transport, Xi'an Shaanxi 710064, China

Received:2019-06-28 Revised:2019-08-11 Online:2019-09-28 Published:2020-10-30

摘要/Abstract

摘要： 为研究驾驶行为异质性及其对交通流特性的影响,基于问卷的方法调查驾驶人受周围车辆车速、交通流密度、排队次数、碰撞事故等因素影响表现出的异质性驾驶行为;结合调查结果,利用NetLogo软件建立基于多智能体系统的中观交通流模型,考虑异质性驾驶行为及碰撞因素,仿真交通流的演化过程。研究表明:驾驶人受周围车辆速度影响会不同程度地调整自身车速,其平均车速与驾驶人特性有关;交通流密度及排队停车次数决定驾驶人的换道行为,换道行为异质性使各车道车辆分布呈潮汐式变化,影响交通流的稳定性;碰撞事故会降低驾驶人车速,导致交通瓶颈。

关键词: 异质性驾驶行为, 碰撞事故, 中观交通流, NetLogo, 多智能体系统, 交通仿真

Abstract: To study heterogeneity of driving behaviors and its influence on traffic flow characteristics, firstly a questionnaire-based survey was conducted to investigate heterogeneous driving behaviors under influences of surrounding vehicles' speed, traffic flow density, number of stops, collision accidents and other factors. Then according to survey results, a meso-traffic flow model based on multi-agent system was established using NetLogo, and heterogeneous driving behaviors and collision factors were deployed to simulate evolution process of traffic flows. The results show that drivers would adjust driving speed to different degrees influenced by surrounding vehicles' speed, and their average driving speed is related to their own characteristics. Behaviors of changing lanes are determined by traffic flow density and number of stops, and heterogeneity of this behavior makes distribution of vehicles in each lane change in a tidal manner and therefore affects traffic flow stability. It is also found that collision accidents can reduce driving speed and cause traffic bottlenecks.

Key words: heterogeneous driving behavior, collision accident, mesoscopic traffic flow, NetLogo, multi-agent system, traffic simulation

中图分类号:

X951

史雪莹, 孙智诚, 朱彤. 基于异质性驾驶行为与碰撞的中观交通流仿真[J]. 中国安全科学学报, 2019, 29(9): 64-69.

SHI Xueying, SUN Zhicheng, ZHU Tong. Mesoscopic traffic flow simulation based on heterogeneous driving behaviors and collision[J]. China Safety Science Journal, 2019, 29(9): 64-69.

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基于异质性驾驶行为与碰撞的中观交通流仿真

Mesoscopic traffic flow simulation based on heterogeneous driving behaviors and collision

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