交通运输系统工程与信息 ›› 2011, Vol. 11 ›› Issue (增1): 168-175.

• 城市交通优化实证研究 • 上一篇    下一篇

城市主干路信号配时优化实证研究

郭彦东*1,李欢1,李夏苗2   

  1. 1. 北京交通大学 城市复杂系统理论与技术教育部重点实验室,北京 100044; 2. 中南大学 交通运输工程学院,长沙 410075
  • 收稿日期:2010-05-02 修回日期:2010-07-27 出版日期:2011-12-28 发布日期:2011-07-18
  • 作者简介:郭彦东(1985-),男,甘肃秦安人,硕士生
  • 基金资助:

    国家重点基础研究发展计划(2006CB705500); 国家自然科学基金项目(71071165)

Signal Timing Optimization for Urban Arterial Roads:A Case Study in Beijing

GUO Yan-dong1,LI Huan1,LI Xia-miao2   

  1. 1. MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University,Beijing 100044, China;2. School of Traffic Engineering and Transportation Planning,Central South University,Changsha 410075, China
  • Received:2010-05-02 Revised:2010-07-27 Online:2011-12-28 Published:2011-07-18

摘要: 城市主干路上各交叉口交通信号的不协调是造成城市交通拥堵的主要原因之一.在现有交通设施条件下,通过改善交通管理措施,特别是改进交叉口信号控制方式,可以有效提高城市主干路的通畅性.本文概括了城市主干路信号控制常见问题及改善措施,以北京市海淀区主干路为例,运用干线协调控制理论,建立线控系统,通过SYNCHRO软件对系统进行优化,利用VISSIM仿真软件对线控实施前后道路的运行状况进行了比较.结果显示:采用线控优化后,该干线晚高峰时段北向南和南向北方向平均延误分别减少了35.5%和34.9%,平均行程速度分别提高10.31%和15.54%.

关键词: 城市交通, 城市主干路, 交叉口, 线控系统, 交通仿真

Abstract: One of the main reasons for the urban traffic congestion is the incoordination of the traffic signals at intersections of urban arterial roads. Under the conditions of existing transport infrastructures, through bettering traffic management measures which especially include optimizing the signal control system for intersections, the traffic congestions on urban arterial roads can be effectively released. In this paper, the common problems of signal controls for urban arterial roads and the countermeasures have been summarized. By applying the theory of arterial coordination control and taking the Daliushu Road, Zhongguancun East Road and Zaojunmiao Road in Haidian District of Beijing as examples the traffic signal control system for eight intersections on the arterial roads is established. The system is optimized by using the software Syncho. By using the simulation software VISSIM, the operational states of the roads are compared. The study results show that by taking the optimization measures, the average delays in southbound, and northbound directions in evening rush hours has been reduced by respectively 35.5% and 34.9%, while their average travel speeds have been increased by 10.31% and 15.54%.

Key words: urban traffic, urban arterial road, intersection, artery traffic signal control system, traffic simulation

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