华南理工大学学报(自然科学版) ›› 2011, Vol. 39 ›› Issue (3): 101-106.doi: 10.3969/j.issn.1000-565X.2011.03.020

• 交通与运输工程 • 上一篇    下一篇

基于机动车排放的自适应信号控制模型

李世武1 王琳虹1 郭栋2 孙文财1 杨志发1   

  1. 1.吉林大学交通学院,吉林长春130025;2.山东理工大学交通与车辆工程学院,山东淄博255000
  • 收稿日期:2010-03-31 修回日期:2010-05-18 出版日期:2011-03-25 发布日期:2011-02-01
  • 通信作者: 李世武(1971·),男,教授,博士生导师,主要从事交通环境与安全技术研究 E-mail:shiwu@jlu.edu.ca
  • 作者简介:李世武(1971·),男,教授,博士生导师,主要从事交通环境与安全技术研究
  • 基金资助:

    国家自然科学基金资助项目(50978116);国家“863”计划项目(2009AA11Z215);吉林大学研究生创新基金资助项目(20111044)

Adaptive Signal Control Model Based on Vehicle Emission

Li Shi-wu1 Wang Lin-hong1 Guo Dong2 Sun Wen-cai1 Yang Zhi-fa1   

  1. 1. Jilin university traffic institute, jilin changchun 130025; 2. Shandong polytechnic university transportation and vehicle engineering college, zibo in shandong province from 255000
  • Received:2010-03-31 Revised:2010-05-18 Online:2011-03-25 Published:2011-02-01
  • Contact: 李世武(1971·),男,教授,博士生导师,主要从事交通环境与安全技术研究 E-mail:shiwu@jlu.edu.ca
  • About author:李世武(1971·),男,教授,博士生导师,主要从事交通环境与安全技术研究
  • Supported by:

    国家自然科学基金资助项目(50978116);国家“863”计划项目(2009AA11Z215);吉林大学研究生创新基金资助项目(20111044)

摘要: 从减少交叉口机动车排放量的角度,分析了信号控制对机动车排放影响因素的作用机理,阐述了信号配时–行驶工况–机动车排放三者之间的关系;根据机动车行驶工况变化对排放的影响,建立了车辆完全停车、不完全停车以及不停车3种状态下的机动车排放计算模型;以交叉口车均排放增加量最小为优化目标,确定了信号配时方案的优化方法.以长春市某典型信号交叉口实测数据进行模型验证,结果表明交叉口机动车排放量降低了6.43%.

关键词: 机动车排放, 信号控制, 运行工况, 自适应控制

Abstract:

In this paper,first,from the viewpoint of reducing the vehicle emission at road intersection,the mechanism how the signal control impacts vehicle emission is analyzed,and the relationship among signal timing,running state and vehicle emission is investigated.Next,according to the effect of running state on the emission,some mo-dels are established to describe the emission respectively in complete-stop,uncompleted-stop and non-stop states.Then,an optimization method of signal timing scheme is proposed by taking the least incremental emission as the objective.Finally,a verification experiment is performed with the real data of a typical intersection in Changchun,China.The results show that the proposed optimization model helps to reduce the vehicle emission by 6.43%.
{Date}: 2011-06-27

Key words: vehicle emission, signal control, running state, adaptive control