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瓶颈处车辆横纵向行为建模与分析
引用本文:何兆成,孙文博,张力成,许菲菲,庄立坚.瓶颈处车辆横纵向行为建模与分析[J].物理学报,2013,62(16):168901-168901.
作者姓名:何兆成  孙文博  张力成  许菲菲  庄立坚
作者单位:中山大学工学院, 广东省智能交通系统重点实验室, 广州 510006
基金项目:国家高技术研究发展计划(批准号:2012AA112311)资助的课题.*Project supported by the National High Technology Research and Development Program of China
摘    要:车辆的横向偏移现象在现实的交通流中广泛存在, 交通瓶颈处的横向偏移现象往往更加显著. 车辆间横纵向的运动相互干扰, 使得瓶颈交通流组织十分混乱, 通行能力受到显著影响. 为了研究瓶颈处车辆横纵向行为规律及其对交通流的影响, 提出一个考虑横向偏移特征的车辆行为模型: 通过引入目标转向角概念,并结合经典优化速度模型, 给出了用于描述车辆的横纵向运动规律的运动方程, 同时通过分析车辆横向偏移特征, 制定了基于车辆行驶状态划分的目标转向角确定规则集. 数值模拟结果表明: 车辆的横向偏移会对交通流的运行产生影响, 在一定的横向偏移反应阈值下, 瓶颈处横向干扰于交通流的影响随着密度的增加而增加; 同时观察到了实际城市交通瓶颈的宏观及微观现象, 验证了模型的有效性. 关键词: 交通流 瓶颈 车辆行为 横向偏移特征

关 键 词:交通流  瓶颈  车辆行为  横向偏移特征
收稿时间:2013-03-20

Modeling and analysis of vehicle behavior at bottlenecks*
He Zhao-Cheng , Sun Wen-Bo , Zhang Li-Cheng , Xu Fei-Fei , Zhuang Li-Jian.Modeling and analysis of vehicle behavior at bottlenecks*[J].Acta Physica Sinica,2013,62(16):168901-168901.
Authors:He Zhao-Cheng  Sun Wen-Bo  Zhang Li-Cheng  Xu Fei-Fei  Zhuang Li-Jian
Abstract:Microscopic traffic models are developed to simulate traffic phenomena. However, current models are usually based on the fact that vehicles travel in the middle of a single lane and make a lateral movement only when the driver wants to change lane. They are incapable of describing driving behavior in a complex traffic environment with a lot of lateral separations which may cause traffic flow to be unstable on a single lane. In order to solve the problem, in this paper we first build up the equations of motion based on target steering angle (TSA) and then establish a series of rules for determining TSA by considering the lateral separation characteristics between the follower and the leader. Finally a new vehicular behavior model is developed. The properties of the model are investigated by simulating two scenarios. It is found that the proposed model is capable of describing complex phenomena which cannot be described by existing models and explaining the perturbation caused by bus near bus stations. The results also imply that this model with taking the lateral separation characteristic into account greatly enhances the effectiveness of vehicular behavior.
Keywords: traffic flow bottleneck vehicle behavior lateral separation characteristic
Keywords:traffic flow  bottleneck  vehicle behavior  lateral separation characteristic
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