拥挤交通环境下经典信号控制理论适应性分析

交通运输系统工程与信息 ›› 2009, Vol. 9 ›› Issue (5): 28-33 .

• 智能交通系统与信息技术 • 上一篇下一篇

拥挤交通环境下经典信号控制理论适应性分析

蒋贤才^{* a,b};苏小红^b

哈尔滨工业大学 a.交通科学与工程学院，哈尔滨 150090；b.计算机科学与技术学院，哈尔滨 150001

收稿日期:2009-03-30 修回日期:2009-05-29 出版日期:2009-10-25 发布日期:2009-10-25
通讯作者: 蒋贤才
作者简介:蒋贤才(1974-), 男, 重庆市梁平县人,讲师, 博士,在站博士后.
基金资助:
国家973项目(2006CB705505)；教育部博士点新教师基金(200802131012)

Adaptability Analysis of Classical Signal Control Theory Applied in Crowded Traffic Environment

JIANG Xian-cai^{* a,b}; SU Xiao-hong^b

a. School of Transportation Science and Engineering, Harbin Institute of Technology, Harbin 150090, China; b. School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China

Received:2009-03-30 Revised:2009-05-29 Online:2009-10-25 Published:2009-10-25
Contact: JIANG Xian-cai

摘要/Abstract

摘要： 针对经典信号控制理论(Webster、HCM等)应用在拥挤交通环境下信号交叉口通行能力明显下降的问题，从分析交通参与者在拥挤与非拥挤交通环境下的驶离需求出发，以体现交通参与者的公平权益为目标，借用延误三角形方法推导了拥挤与非拥挤交通环境下交通参与者的总权益，并建立了两种交通环境下交通参与者权益与绿信比之间的关系模型。结果表明：在非拥挤交通环境下，Webster等经典信号控制理论兼顾了交通参与者的公平权益，在实践应用中取得了良好控制效果；而在拥挤交通环境下，单纯从交通量角度提出信号控制方案去解决或缓解交通拥挤会存在一定缺陷，需要综合考虑形成交通拥挤的其他因素来完善现有信号控制理论。

关键词: 信号控制, 拥挤交通, 权益, 绿信比

Abstract: To solve the problem that the capacity of signal intersection decreased when the classical signal control theory was applied in crowded traffic environment, such as Webster, HCM, and so on. First, the leaving demand of traffic participants at signal intersection was analyzed both in non-crowded and crowded traffic environment. Second, based on the goal to reflect the fair of traffic participants’ rights, the total rights of traffic participants in different traffic environment was deduced using the method of delay triangle at signal intersection, and the relational models between rights of traffic participants and split were developed. The results indicated that classical signal control theory such as Webster considered the fairness of traffic participants’ rights and obtained good effect in non-crowded traffic environment. However, in crowded traffic environment, the signal control program drafted only from traffic volumes met some limitation to solve or relieve the traffic congestion. Therefore, it is necessary to consider other factors caused traffic congestion to improve the existing signal control theory.

Key words: signal control, traffic congestion, rights, split

中图分类号:

U491.5+4

蒋贤才,苏小红. 拥挤交通环境下经典信号控制理论适应性分析[J]. 交通运输系统工程与信息, 2009, 9(5): 28-33 .

JIANG Xian-cai,SU Xiao-hong. Adaptability Analysis of Classical Signal Control Theory Applied in Crowded Traffic Environment[J]. Journal of Transportation Systems Engineering and Information Technology, 2009, 9(5): 28-33 .

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拥挤交通环境下经典信号控制理论适应性分析

Adaptability Analysis of Classical Signal Control Theory Applied in Crowded Traffic Environment

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