1) user equilibrium state
用户均衡态
2) dynamic user-equilibrium
动态用户均衡
1.
This paper presents a model for the discrete - time dynamic user-equilibrium route and departure time choice problem in road network with queues.
针对允许车辆排队的城市交通网络,本文提出一个离散动态用户均衡的出行路径与出行时间选择模型。
3) user equilibrium
用户均衡
1.
Upper bounds of efficiency loss for user equilibrium behavior in traffic networks;
交通网络中用户均衡行为的效率损失上界
2.
With the traffic pattern on the principle of user equilibrium,the working mechanisms of the dynamic signal control system and the advanced traveler information system are studied,and meaningful recommendations for the optimization of traffic control and information systems are provided.
以通行能力变化条件下的瓶颈动态交通分配模型为理论基础,根据该模型得出的满足用户均衡条件的交通出行分布模式,分析动态交通信号控制和旅行信息系统的工作原理,为交通控制和诱导的优化分析提供了指导性意见。
3.
For utilizing properties of the conventional user equilibrium model,the capacitated flow model can be turned into the form of the conventional user equilibrium model.
容量制约下的交通网络流模型是一个非线性规划问题,表现为在路段容量约束条件下的用户均衡网络的优化,这个模型能够描述交通网络的拥挤特征。
4) Dynamic user equilibrium condition
动态用户均衡条件
5) dynamic stochastic user equilibrium
动态随机用户均衡
1.
In order to verify validity of the proposed methods,a dynamic stochastic route choice model based on Cross-nested Logit model was employed to generate traffic environment of dynamic stochastic user equilibrium.
为了验证提出的信号控制方法的有效性,利用Cross-nested Logit模型构建了动态随机路径选择模型来获得动态随机用户均衡的交通环境;以该环境为基础在Sioux Falls网络上进行了数值试验。
6) stochastic user equilibrium
随机用户均衡
1.
Model and its solution for stochastic user equilibrium traffic assignment with multiple user classes and variable demand;
多用户类弹性需求随机用户均衡模型及其求解
2.
Bounding efficiency loss of multiclass stochastic user equilibrium traffic assignment under road pricing
收费情形下多用户类随机用户均衡交通分配的效率损失上界
3.
This study then formulates a travel time budget-based stochastic user equilibrium traffi.
在此基础上,采用变分不等式技术构建了基于出行时间预算的多用户类型弹性需求随机用户均衡交通分配模型,并证明了模型解的等价性。
补充资料:单线态-单线态能量转移
分子式:
CAS号:
性质:处于电子激发单线态的能量给体,通过激发能的转移使能量受体处于激发单线态的过程。
CAS号:
性质:处于电子激发单线态的能量给体,通过激发能的转移使能量受体处于激发单线态的过程。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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