中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2018, Vol. 37 ›› Issue (06): 92-97.DOI: 10.3969/j.issn.1674-0696.2018.06.15

• 交通运输工程 • 上一篇    下一篇

基于NSGAⅡ算法的逆向可变车道信号配时优化

刘伟,谢忠金,陈科全   

  1. (重庆交通大学 交通运输学院,重庆 400074)
  • 收稿日期:2017-01-16 修回日期:2017-04-21 出版日期:2018-06-12 发布日期:2018-06-12
  • 作者简介:刘伟(1978—),男,重庆人,教授,博士,主要从事交通规划、信号控制等方面的研究。E-mail:neway119@qq.com。
  • 基金资助:
    国家留学基金委西部地区人才特别项目(201608505102);重庆市社会事业与民生保障科技创新专项项目(cstc2015shms-ztzx30015)

Optimization of Reversing Variable Lane Signal Timing Design Based on NSGAⅡ Algorithm

LIU Wei,XIE Zhongjin,CHEN Kequan   

  1. (College of Traffic & Transportation,Chongqing Jiaotong University,Chongqing 400074,P.R.China)
  • Received:2017-01-16 Revised:2017-04-21 Online:2018-06-12 Published:2018-06-12

摘要: 以相位有效绿灯时间、饱和度和逆向可变车道长度为约束条件,建立交叉口控制延误时间最小、交叉口通行能力最大的双目标函数控制模型,运用NSGA-Ⅱ双目标优化算法,求解目标函数,获得以通行能力相对占优的信号配时方案,达到交叉口控制效率提高的目标。以重庆某交叉口实际数据为例,用NSGA-Ⅱ算法对设置可变车道后的配时优化方案求解,并与现状配时方案进行对比,设置逆向可变车道和优化信号配时能够提高交叉口通行能力,降低控制延误。

关键词: 交通运输工程, 交通管理与控制, 交叉口信号配时, 逆向可变车道, 多目标优化, NSGA-Ⅱ算法

Abstract: By taking phase effective green light time,saturation,and reverse variable lane length as constraints,a control model of double target functions as minimum delay control time at intersection and maximum traffic capacity at intersections was established.With application of the double target optimization NSGA-Ⅱ algorithm,target functions were calculated,and the solution of signal timing of relative superiority of traffic capacity was achieved so as to achieve the goal of improvement of control efficiency at intersections.Using a Chongqing intersection as an example,the NSGA-Ⅱ algorithm was used to solve the signal timing plan of the reverse variable lane.Compared with the existing signal timing plan,the optimized signal timing plan of the reverse variable lane can improve intersection capacity and reduce control delay.

Key words: traffic and transportation engineering, traffic management and control, optimization of intersection;reversing variable lane, multi-object optimization, NSGA-Ⅱ algorithm

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