This paper proposed a stochastic user equilibrium assignment model for regional multi-modal networks, together with a solution algorithm.
为了刻画实现随机用户均衡态的过程，提出一个考虑多用户参与和多准则决策的随机均衡交通配流演化模型。
Because equilibrium assignment model has large number of variables and restriction conditions, it is difficult to solve it, which affects its application.
对于均衡分配模型，由于变量较多、维数太大、约束条件太多，使得模型的求解较为困难，影响了在实际中的应用。
A combined stochastic user equilibrium model for simultaneous prediction of trip distribution and trip assignment on large-scale networks is developed.
提出了适用于大规模网络的组合随机用户平衡模型，能够同时预测出行分布和交通分配。
Od demands and link capacities are treated as discrete random variables. Based on user-equilibrium traffic assignment model, an approximating algorithm is used to estimate the travel time reliability.
将OD交通量和路段通行能力作为离散随机变量，基于用户平衡分配模型，用近似算法求解行程时间可靠性。
We present an discrete users equilibrium (UE) assignment model for dynamic traffic network. This model is a dynamic generalization of UE model for static traffic network assignment.
提出一种离散的动态交通网络用户均衡配流模型，它是静态UE模型的一种推广。
Sensitivity analysis for multimodal equilibrium assignment variational inequality model is proposed, and a numeral example is given.
本文对多模式均衡配流变分不等式模型进行了灵敏度分析，并给出了数值算例。
Sensitivity analysis for multimodal equilibrium assignment variational inequality model is proposed, and a numeral example is given.
本文对多模式均衡配流变分不等式模型进行了灵敏度分析，并给出了数值算例。
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