交通拥堵下基于可靠度的出行路径模型及算例分析

Travel Path Model and Case Study Under Traffic Congestion Environment

交通拥堵事故多发生于路网局部,严重拥堵或多个局部同时拥堵可能引发次生拥堵,对城市交通造成破坏。通过引入BPR函数Davidson修正模型及公路道路服务水平的概念,对路网路径运行时间进行分析。由于路网结构的复杂性以及道路特性的差异、交叉口交通流的动态变化,出行者面对拥堵时选择出行路径的难度加大,导致其在路网交通情况正常时所确定的最优出行路径并不一定是交通拥堵情况下的最优选择。在考虑所选路径可靠度的基础上,建立了交通拥堵下城市路网的静态交通分配模型并进行了算法算例求解,用模型从宏观角度分析城市交通,为缓解城市交通拥堵提供参考。

Traffic congestion usually occurs in the local road network,moreover,it has big possibility to arouse second congestion.Based on the Davison modified model of BRP function and the definition of road service standard,this paper analyzed the runtime of road network.Under the complexity of road network,the optimal path chosen in normal traffic environment maybe not the optimal solution in traffic congestion environment because of the differences of road service level and dynamic development of traffic flows in the crossroads.Considering the reliability of the chosen path,this article built a static traffic distribution model to analyze urban transportation with macroscopic perspective,and provided suggestions for relieving urban traffic congestion.