期刊文献+

交通干线动态双向绿波带控制技术研究 被引量:21

Study on traffic trunk dynamic two-direction green wave control technique
下载PDF
导出
摘要 在多智能体道路交通控制概念模型基础上,提出了一种全新的交通干线动态双向绿波带智能协调控制策略.通过中心协调智能体和路口控制智能体间的信息交互和协调,在确保路口绿灯时间利用率较高的前提下,实现干线双向车流不停车地通行.中心协调智能体根据一段时间内交通流信息计算公共信号周期和上下行相位差,路口控制智能体实时确定各路口的绿信比.公共信号周期依照关键路口饱和度的大小由模糊控制算法进行调整,相位差根据上下行速度和路段长度进行计算,绿信比基于历史和实时的交通数据确定.实际应用证明了该控制策略的有效性. On the basis of a multi-agent-based traffic control conceptual model, a novel traffic trunk dynamic two-direction green wave coordinate control strategy was proposed. Through exchanging messages and cooperating between centre coordination agent (CCA) and local control agents (LCA), the two-direction vehicle-flow passes each intersection on the trunk without stop as fast as possible while the utility efficiency of green light time in each intersection is at relatively high level. The public cycle time, up-run offset and down-run offset are calculated in the CCA, and the splits of each intersection are adjusted in the LCA at the end of each cycle. The public cycle time is adjusted by a fuzzy arithmetic according to the traffic flow saturation degree of the key intersection on the trunk. The offset is obtained by dividing the section length of the trunk between two adjacent intersections by the up-run speeds or the down-run speeds. The variable splits of each intersection are based on historical and real-time traffic information. The factual application results show that the strategy performs well.
出处 《浙江大学学报(工学版)》 EI CAS CSCD 北大核心 2008年第9期1625-1630,共6页 Journal of Zhejiang University:Engineering Science
基金 国家"863"高技术研究发展计划资助项目(2007AA11Z216) 国家自然科学基金资助项目(50708094) 浙江省科技计划资助项目(2007C21169)
关键词 控制理论与工程 交通干线 协调控制 多智能体 模糊理论 multi-agent traffic trunk coordinated control fuzzy theory green wave
  • 相关文献

参考文献7

  • 1LITTLE J D C, KELSON M D, GARTNER N H. MAXBAND: A program for setting signals on arteries and triangular networks [J]. Transportation Research Record, 1981, 795: 40-46.
  • 2GARTNER N H, ASSMANN S F, LASAGA F, et al. MULTIBAND: A variable-bandwidth arterial progression scheme [J~. Transportation Research Record, 1990, 1287:212 - 222.
  • 3HAKIM L, SALAH M, REBE M. Traffic control assistance in connection nodes: multi-agent applications in urban transport systems [C] // Proceedings of International Workshop on Intelligent Data Application and Advanced Computing System: Technology and Application. Foros, Ukraine:[s. n. ], 2001: 133 - 137.
  • 4ADLER J L, BLUE V J. A cooperative multi-agent transportation management and route guidance system [J]. Transportation Research Part C, 2002, 10:433-454.
  • 5FRANCE J, GHORBANI A A. A MultiAgent system for optimizing urban traffic [C] // Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology. Beijing: IEEE, 2003 : 411 - 414.
  • 6承向军,杜鹏,杨肇夏.基于多智能体的分布式交通信号协调控制方法[J].系统工程理论与实践,2005,25(8):130-135. 被引量:15
  • 7沈国江.城市区域交通智能分散控制研究[J].浙江大学学报(工学版),2006,40(4):585-589. 被引量:11

二级参考文献12

  • 1承向军,贺振欢,杨肇夏.基于遗传算法的交通信号机器学习控制方法[J].系统工程理论与实践,2004,24(8):130-135. 被引量:13
  • 2沈国江,孙优贤.面向控制的城市交通网络宏观动态模型[J].浙江大学学报(工学版),2005,39(10):1485-1489. 被引量:6
  • 3Gerhard Weiss. Multiagent systems: a modern approach to distributed artificial intelligence[A]. Cambridge, Mass.MIT Press, 1999.
  • 4Hakim Laichour, etc. Traffic control assistance in connection nodes: multi-agent applications in urban transport systems[A]. International Workshop on Intelligent Data Application and Advanced Computing System: Technology and Application. 1-4 July 2001, Foros, Ukraine: 133-137.
  • 5Jeffrey L. Adler and Victor J. Blue. A cooperative multi-agent transportation management and route guidance system[J]. Transportation Research Part C, 2002,10: 433-454.
  • 6John France and Ali A. Ghorbani. A multiagent system for optimizing urban traffic[A]. Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology (IAT'03)[C], 2003 IEEE.
  • 7PAPPIS C P,MAMDANI E H.A fuzzy logic controller for a traffic junction[J].IEEE Trans on Systems,Man and Cybernetics,1977,7(10):707-717.
  • 8ROBERTSON D,BRETHERTON R D.Optimizing networks of traffic signals in real time-the SCOOT method[J].IEEE Transportation on Vehicular Technology,1995,40(1):11-15.
  • 9LO H,CHANG E,CHAN Y C.Dynamic network traffic control[J].Transportation Research,2001,35A(1):721-744.
  • 10LEE J H,LEE K M,LEE-KWANG H,Traffic control of intersection group based on Fuzzy Logic[C]∥ Proceeding of the 6th International Congress on Fuzzy Systems.San Paulo:Brazil,1995:465-468.

共引文献24

同被引文献123

引证文献21

二级引证文献104

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