期刊文献+

干线协调控制下的单点自适应信号控制方法 被引量:1

Method of Single-point Adaptive Signal Control during Trunk Line Coordination and Regulation
下载PDF
导出
摘要 为实现干线协调下的单点自适应控制,首先将周期内的相位分解为固定部分和可变部分,并设定各相位的可变部分时长之和为定值;随后将协调方向及其相邻相位所在方向的进口道流量模糊化,并用规则集描述流量与相位可变部分的时长之间的关系;最终形成一套干线协调下的单点自适应控制方法。仿真结果表明,新控制方法对时变的交通流适应性更佳。 In this paper, in order to realize the adaptive control of a single signal during trunk line coordination, we first decomposed the phases during a cycle into the fixed part and variable part and set the sum of the duration of the variable part of all phases to be constant; then we turned fuzzy the coordination direction and the inlet flow of the neighboring phases and used rule set to describe the relationship between the traffic flow and the duration of the variable part, which ultimately led to the formation of a single-point adaptive signal comrol method during the process of trunk line coordination and regulation.
出处 《物流技术》 2017年第4期68-73,133,共7页 Logistics Technology
基金 江苏省高校自然科学基金项目(13KJB580003) 江苏省城市智能交通重点实验室开放研究经费资助项目(JTKF2014004) 江苏大学高级专业人才科研启动基金(12JDG056)
关键词 自适应控制 干线协调 可变相位 模糊控制 城市交通 adaptive control trunk line coordination variable phase fuzzy control urban traffic
  • 相关文献

参考文献3

二级参考文献16

  • 1徐勋倩,黄卫.单路口交通信号多相位实时控制模型及其算法[J].控制理论与应用,2005,22(3):413-416. 被引量:36
  • 2王秋平,谭学龙,张生瑞.城市单点交叉口信号配时优化[J].交通运输工程学报,2006,6(2):60-64. 被引量:109
  • 3徐雪松,景玉军,何珍梅.城市交通信号配时的免疫算法[J].华东交通大学学报,2007,24(1):53-56. 被引量:2
  • 4赵晓华,石建军,李振龙,赵国勇.基于Q-learning和BP神经元网络的交叉口信号灯控制[J].公路交通科技,2007,24(7):99-102. 被引量:8
  • 5[2]PTV.VISSIM 4.10 USER MANUAL[Z].German:Planung Transport Verkeher AG,2005
  • 6ABDULHAI B, PRINGLE R.Machine learning based adaptive signal control using autonomous Q-learning agent[C]//Proc of IASTED International Conference on Intelligent Systems and Control.2000: 320-327.
  • 7ABDULHAI B, PRINGLE R, KARAKOULAS G.Reinforcement learning for true adaptive traffic signal control[J].Journal of Transportation Engineering, 2003, 129(3):278-285.
  • 8RUMMERY G, NIRANJAN M.On-line Q-learning using connectio-nist systems, CUED/F-INFENG/TR166[R].Cambridge: Enginee-ring Department, Cambridge of University 1994.
  • 9BINGHAM E.Reinforcement learning in neurofuzzy traffic signal control[J].European Journal of Operational Research, 2001, 131(2): 232-241.
  • 10全永燊.城市交通控制[M].北京:人民交通出版社,1989.55-129.

共引文献85

同被引文献17

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部