基于GERT随机网络的城市交通流仿真研究

针对传统城市交通流模型仅适用于非拥挤城市交通路网规划,无法拟合路段行驶时间依赖于交通负荷变化的城市交通流时空分布网络问题的缺陷,运用GERT随机网络对城市交通流进行仿真模拟.将普通动态交通规划模型无法反映的各路径交通流之间相互影响的内在逻辑关系考虑在内,使得动态交通规划更具现实指导意义.对贵阳喷水池交通枢纽路段的实际案例分析表明,该方法可以为城市交通规划提供有力地决策支持.

Urban traffic flow simulation based on GERT random network

Due to the problems that previous research in constructing urban traffic flow models applies only to the un-crowding city traffic characters which can′t simulate the traffic jam phenomenon,traffic time greatly depends on the traffic load change of city traffic space-time distribution network,random network graph evaluation and review technique(GERT) is used to simulate the city traffic flow.This method can reflect the path of traffic flow between the internal logic into account,which is out of the reach of common dynamic traffic planning models,so as more realistic for dynamic transport planning guidance.The fountain transport hub case study in Guiyang demonstrates that this method can provide a strong support for urban transportation planning decision.