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。
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.
作者
史雪莹
孙智诚
朱彤
SHI Xueying;SUN Zhicheng;ZHU Tong(School of Automobile,Chang'an University,Xi'an Shaanxi 710064,China;Key Laboratory of Automotive Transportation Safety Enhancement Technology,Ministry of Transport,Xi'an Shaanxi 710064,China)
出处
《中国安全科学学报》
CAS
CSCD
北大核心
2019年第9期64-69,共6页
China Safety Science Journal
基金
广东省道路运输管理局科技处项目(KJXM2016-001)
