城市道路偶发性局部拥堵自组织控制策略研究

项目名称： 城市道路偶发性局部拥堵自组织控制策略研究

项目编号： No.51278066

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 建筑科学

项目作者： 吴义虎

作者单位： 长沙理工大学

项目金额： 84万元

中文摘要： 道路交通拥堵是城市交通问题的突出表现，已成为诱发交通安全、交通环境污染以及交通能耗等诸多日益突出的社会问题。由交通事件造成的偶发性拥堵，会不断扩散到周边路网，造成区域性交通拥堵。本项目从动态交通流理论出发，从城市交通网络动态流量特征出发，提出交通拥堵的快速识别方法，在此基础上，提出一种城市偶发性局部拥堵区域的交通信号自组织控制策略，其特点是：既快速卸载局部拥堵区域交通量，又不造成非拥堵区形成新的拥堵；同时采取节流控制，既合理分流减少进入拥堵区域的交通量，又不形成新的拥堵区。结合人工智能和实时交通流信息，提出城市局部拥堵区域的疏散路线优化方法及信号配时方法。

中文关键词： 拥堵控制；流体；元胞自动机；图论；偶发

英文摘要： Traffic congest has become a main problem in urban daily traffic operations, and brought about many problems, such as traffic safety, pollution, and fuel consumption and so on. Sporadic congest brought about by traffic incident will spread, even result in large scale traffic jams. Firstly, rapid detection method of the traffic jam is proposed based on the dynamic traffic assignment and the characteristic of the real time traffic flow. Secondly, traffic signal self-organizing control strategy is suggested to deal with the sporadic local congestion. The self-organizing control strategy can not only quickly reduce local congestion, but also prevent from congestion area diffusion. Moreover, the flow volume control method is used to decrease flow volumes into the congestion area. Therefore, new congestion area is not come into being. Thirdly, signal timing method and emergency evacuation route scheme of the local congestion area is adopted based on the artificial intelligence technology and real time traffic information.

英文关键词： congestion control；flow；Cellular automata；Graph Theory；Occasionally