Car-following and Lane-changing Behaviors Near an Intersection

被引：0
|
作者：
Ding J.-X. [1 ,2 ]
Zheng Y.-B.-M. [1 ]
Zhang M.-T. [1 ]
Long J.-C. [1 ]
机构：
[1] School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei
[2] Key Laboratory of Process Optimization and Intelligent Decision Making, Ministry of Education, Hefei University of Technology, Hefei
来源：
Ding, Jian-Xun (dingjianxun@hfut.edu.cn) | 1600年 / Science Press卷 / 17期
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
Car-following; Lane-changing behavior; Traffic engineering; Two-dimensional OV model;
D O I：
10.16097/j.cnki.1009-6744.2017.03.010
中图分类号：
学科分类号：
摘要：
Car-following and lane-changing behaviors near an intersection exhibit the diversity and complexity of features. This paper proposes an modified two lane car-following and lane-changing model based on a two-dimensional optimal velocity (OV) model to explore the interaction mechanism between carfollowing and lane-changing and macroscopic traffic flow characteristics in front of the intersection. Using the model, the impact of different percentages of lane-changing vehicles, safety distances and desired parameters of lane-changing on traffic characteristics are investigated. The results show that the lanechanging behavior near the intersection has negative impacts on traffic flow. The traffic state becomes more seriously with larger percentages of lane-changing vehicles. The lane-changing success rate becomes larger as the increase of desired lane-changing parameter. The increase of desired lane-changing parameter leads to decrease of flux, when traffic congestion appears. The larger safety distance is easier to cause traffic congestion, because of the decrease of flux, while the success rate of lane-changing is improved. Copyright © 2017 by Science Press.
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收藏
页码：60 / 66
页数：6
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