The lower level is a standard user equilibrium assignment problem that mode accounts for the drivers' path choice behavior.
下层模型是普通的用户平衡分配问题，用来优化用户出行的路线选择行为。
Firstly, a traffic network equilibrium assignment problem regarding taxi as a single mode of various traffic modes is studied.
首先研究了把出租车作为多种交通方式之一的交通网络均衡配流问题。
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。
In this paper, we focus on two important technologies in urban transit network: transit equilibrium assignment and the bus regulation.
本文主要探讨了城市公交系统中最重要的两种技术：公交客流分配和车辆调度。
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。
However, the existing network equilibrium assignment approach has less considered the influence of the taxi service on urban transportation in the mixed urban traffic network.
但是，现有的交通网络均衡分配方法较少考虑城市混合交通网络中出租车运营对城市交通的影响。
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。
Theoretical mechanism and empirical analysis of origin-based algorithm are addressed for user equilibrium traffic assignment.
以交通网络为对象，研究求解均衡网络模型的起点算法原理及其实际应用。
This paper deals with the stochastic user equilibrium (SUE) conditions and SUE assignment problem in urban transportation networks with the help of utility theory.
本文讨论了交通网络系统的随机用户均衡原理的数学表述问题。
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。
We present a new algorithm for non-equilibrium traffic assignment problems based on the dynamic generating of the shortest paths between every O-D pair.
提出了基于最短路动态生成的一种新的非平衡交通分配迭代算法。
We present a new algorithm for non-equilibrium traffic assignment problems based on the dynamic generating of the shortest paths between every O-D pair.
提出了基于最短路动态生成的一种新的非平衡交通分配迭代算法。
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