交通运输系统工程与信息 ›› 2012, Vol. 12 ›› Issue (1): 185-192.

• 系统工程理论与方法 • 上一篇    下一篇

无信号T型交叉口交通流特性研究

范宏强,贾斌*,李新刚,田钧方   

  1. 北京交通大学 交通运输学院系统科学所,北京 100044
  • 收稿日期:2011-11-25 修回日期:2011-12-15 出版日期:2012-02-25 发布日期:2012-03-06
  • 作者简介:范宏强(1985-),男,河北石家庄人,博士生.
  • 基金资助:

    国家自然科学基金(71071013,71001004和71071012);北京交通大学基金(2009JBZ012-2);北京交通大学科技基金资助项目(T11JB00200).

Characteristics of Traffic Flow at Non-Signalized T-Shaped Intersection

FAN Hong-qiang, JIA Bin, LI Xin-gang, TIAN Jun-fang   

  1. Institute of System Science, School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
  • Received:2011-11-25 Revised:2011-12-15 Online:2012-02-25 Published:2012-03-06

摘要: 在T型交叉口中存在直行、左转、右转三种车流.在考虑所有方向车流的情况下,本文提出了一种用于研究无信号T型交叉口交通流特性的元胞自动机模型.模型采用了防止车辆之间发生碰撞以及出现死锁现象的规则.通过模型模拟,本文分别研究了主干路车辆流入率、各车道的左转车流和右转车流对交叉口的影响,其中右转车流的影响是研究重点.结果表明,右转车流量的增加可以促进次干路和主干路内侧车道流量的增加,但是会减少主干路外侧车道的流量;当主干路外侧车道车辆流入率足够大且内侧车道车辆流入率足够小时,次干路的右转车流会促进主干路外侧车道的流量增加.

关键词: 城市交通, 交通流特性, 元胞自动机模型, 无信号T型交叉口

Abstract: At the nonsignalized Tshaped intersection, there are three types of vehicles, such as straightdriving vehicles, leftturning vehicles and rightturning vehicles. The cellular automata model is proposed to explore the characteristic of traffic flow at the nonsignalized Tshaped intersection with all directional vehicles. The rules are applied to avoid the conflicts between different directional vehicles and the gridlock happen. The influence of inflow rates, leftturning vehicles and rightturning vehicles on each lane flux is discussed. This paper especially focuses on rightturning vehicles. Simulation results indicate rightturning vehicles can enhance the flux of the minor street and the inner lane of the major street but restrain the flux in outer lane of the major street. It is observed that when the inflow rates of the inner lane in major street is low enough and the inflow rates of the outer lane in major street is high enough, rightturning vehicles in minor street can enhance the flux in outer lane of major street.

Key words: urban traffic, traffic flow characteristic, cellular automata model, nonsignalized Tshaped intersection

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