Based on the theory of random effectiveness and urban traffic network, a random model used for computing average travel time in a road network is established.
以随机效用理论为基础，建立了整个路网中车辆在路网容量极限状态下的平均行驶时间模型。
In the first model users' generalized travel cost are assumed to be weighted sum of the standard deviation and the mean travel time, and users have perfect knowledge of the road network condition.
在第一种模型中，假定出行者的广义出行费用定义为平均行程时间和行程时间均方差的线性加权和，同时出行者能够正确认识自己的广义出行费用。
The algorithm is applicable to large-scale road network with many to many origin-destination and time-dependent O-D volumes. Simulation results prove the validity of both the model and the algorithm.
该算法适用于多起点、多讫点以及O-D量随时间变化路网的动态系统最优交通分配，仿真结果验证了算法的有效性。
The algorithm is applicable to large-scale road network with many to many origin-destination and time-dependent O-D volumes. Simulation results prove the validity of both the model and the algorithm.
该算法适用于多起点、多讫点以及O-D量随时间变化路网的动态系统最优交通分配，仿真结果验证了算法的有效性。
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