The paper analyses two routing models in IP networks, i. e. , the user equilibrium model and the system optimal model.
分析了IP网络中的两种路由模型：用户平衡模型和系统最优模型。
Determining the upper bounds of efficiency loss for user equilibrium behavior in traffic networks has become a hot topic.
确定交通网络用户均衡行为效率损失的上界是当前国际上的一个研究热点。
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。
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 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。
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。
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。
The article sets up system Equilibrium and User Equilibrium coordination module regarding on the allocation and guidance problems existing in the traffic control system and traffic guidance system.
针对控制与诱导系统一体化中分配、控制与诱导的问题，本文建立了用户最优-系统最优协调模型。
Fuzzy phenomena often occur in the process of travel decision-making. Based on fuzzy priority relation between paths, a new route choice model is provided under assumption of fuzzy user equilibrium.
模糊现象客观地存在于路径选择过程，本文考虑到路径之间的模糊优先关系，在模糊用户均衡条件的假设下，提出了一种新的路径选择模型。
At equilibrium, no user starts on the latest or earliest departure time.
在均衡状态，没有通勤者会选择在最早或最迟出发时间出行；
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。
The method of overcoming ICI is equilibrium, and ISI can be restrained by using multi-user detection technology.
克服码间干扰常用均衡的方法，而同信道干扰则可利用多用户检测加以抑制。
The method of overcoming ICI is equilibrium, and ISI can be restrained by using multi-user detection technology.
克服码间干扰常用均衡的方法，而同信道干扰则可利用多用户检测加以抑制。
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