华南理工大学学报(自然科学版) ›› 2014, Vol. 42 ›› Issue (5): 60-66,83.doi: 10.3969/j.issn.1000-565X.2014.05.010

• 交通与运输工程 • 上一篇    下一篇

绿波协调控制方案的速度区间适应性分析与评价

卢凯1,2 吴焕1杨兴1 徐建闽1,2   

  1. 1.华南理工大学 土木与交通学院,广东 广州 510640;2.华南理工大学 自主系统与网络控制教育部重点实验室,广东 广州 510640
  • 收稿日期:2013-10-15 修回日期:2014-01-23 出版日期:2014-05-25 发布日期:2014-04-01
  • 通信作者: 卢凯(1979-),男,博士,副教授,主要从事交通信号控制研究. E-mail:kailu@scut.edu.cn
  • 作者简介:卢凯(1979-),男,博士,副教授,主要从事交通信号控制研究.
  • 基金资助:

    国家自然科学基金资助项目(61203164);广东省自然科学基金资助项目(S2012040007998);广州市珠江科技新星专项(2013J2200066);广东高校优秀青年创新人才培养计划(育苗工程)项目(2012LYM_0014)

Analysis and Evaluation of Adaptability to Velocity Band for Green Wave Coordination Control Scheme

Lu Kai1,2 Wu Huan1 Yang Xing1 Xu Jian- min1,2   

  1. 1.School of Civil Engineering and Transportation,South China University of Technology,Guangzhou 510640,Guangdong,China;2.Key Laboratory of Autonomous Systems and Networked Control of the Ministry of Education,South China University ofTechnology,Guangzhou 510640,Guangdong,China
  • Received:2013-10-15 Revised:2014-01-23 Online:2014-05-25 Published:2014-04-01
  • Contact: 卢凯(1979-),男,博士,副教授,主要从事交通信号控制研究. E-mail:kailu@scut.edu.cn
  • About author:卢凯(1979-),男,博士,副教授,主要从事交通信号控制研究.
  • Supported by:

    国家自然科学基金资助项目(61203164);广东省自然科学基金资助项目(S2012040007998);广州市珠江科技新星专项(2013J2200066);广东高校优秀青年创新人才培养计划(育苗工程)项目(2012LYM_0014)

摘要: 针对实际行驶车速的不确定性,分析了行驶车速变化对交通信号绿波协调控制方案实际效果的影响;通过确定行驶速度的正常变化区间,设定绿波协调控制平均设计车速,生成干道绿波协调控制备选方案;根据速度分布下的绿波带宽期望评价备选方案,并对方案进行优选.算例分析与仿真实验结果表明,该方法考虑了干道不同行驶方向行驶速度的变化范围与分布情况,可依据行驶速度的数据样本与概率分布,在多个备选方案中优选出一套面向行驶速度区间需求的最佳绿波协调控制方案,实现了交通信号协调控制方案风险的量化评估,提高了干道绿波协调控制方案的适应性与鲁棒性.

关键词: 交通控制, 绿波协调, 方案评价, 速度区间, 带宽期望, 适应性

Abstract:

Aiming at the uncertainty of actual running speed of vehicles,the influence of speed variation on actualresults of green wave coordination control scheme for traffic signals is analyzed.Then,by determining the velocityband of normal moving vehicles and by setting the average design speed for green wave coordination control,alter-native schemes of arterial green wave coordination control are generated.Finally,on the basis of green wave band-width expectation,the alternative schemes are evaluated and optimized under corresponding velocity distributions.The results of example analysis and simulation show that the proposed method takes into consideration the velocityband and distribution in different arterial directions and helps choose the best green wave coordination controlscheme from many alternative schemes according to sampled data and probability distribution of actual runningspeed.Thus,it is efficient in realizing the quantitative risk evaluation of coordination control schemes for traffic sig-nals and improving the adaptability and robustness of arterial green wave coordination control schemes.

Key words: traffic control, green wave coordination, scheme evaluation, velocity band, bandwidth expectation, adaptability

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