1) stochastic user equilibrium assignment
随机平衡配流
1.
This paper proposed a stochastic user equilibrium assignment model for regional multi-modal networks,together with a solution algorithm.
提出了一种区域多方式货运网络随机平衡配流模型,并给出了相应的求解算法。
2) stochastic equilibrium traffic flow distribution
随机均衡配流
3) multi-period stochastic user equilibrium assignment
多阶段随机用户平衡配流
4) stochastic equilibrium
随机平衡
1.
On the condition that the stochastic equilibrium restraints are satisfied as the network clients select the path,the author presents bilevel planning model for traffic network design.
在考虑网络中用户的路径选择行为满足概率型随机平衡的条件下,给出了交通网络设计的双层规划模型,同时设计了基于差分的启发式求解算法。
2.
On the condition that the probit-based stochastic equilibrium with multiple users is used to characterize users′route choice behaviors in real networks,a bilevel programming model in which the object is aim to minimize the whole travel cost of the network subjecting to the constraint of budget is proposed for the traffic network design.
在考虑网络中用户的路径选择行为满足多用户基于概率型随机平衡的条件下,在满足预算约束的同时,以网络的总出行费用最小化为目标,给出了交通网络设计的双层规划模型。
3.
The model adopts the combination of mixed OD distribution and stochastic equilibrium assignment with some technical references of Logit choice model.
基于我国城市混合交通的特点,借助于Logit选择模型,建立了混合交通OD分布与随机平衡分配组合的数学规划模型,证明了模型最优解的等价性与唯一性,同时给出了算法和算例。
5) SUEA
随机用户平衡分配
1.
The paper provides a new dimension-reduced method of sensitivity analysis for stochastic user equilibrium assignment(SUEA) model based on the relation between its Lagrange function and logarithmic barrier function combined with a Courant quadratic penalty term.
基于随机用户平衡分配扰动模型的Lagrange函数及带柯朗二次惩罚项的对数边际函数之间的关系给出了一种的新的降维灵敏度分析方法,与通常所说的灵敏度分析相比它的优点是大大减小了计算的维数,降低了复杂性。
6) stochastic equilibrium traffic assignment
随机均衡交通配流
1.
In order to formulate the process of realizing stochastic user equilibrium,authors proposed an evolution model of multiclass and multicriteria stochastic equilibrium traffic assignment.
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。
补充资料：随机数和伪随机数
随机数和伪随机数
random and pseudo-randan numbers
随机数和伪随机数【喇间佣1 al川牌”山一喇闭..m.山娜;cJI了，a如曰e”nce，口oc月卿成.以叹“c月a】 数亡。(特别，二进制数:。)，其顺序出现，满足某种统计正则性(见概率论(probability Uleory)).人们是这样区别随机数(mndomn切mbe比)和伪随机数(PSeudo一mn由mn切mbe岛)的，前者由随机的装置来生成，而后者是用算术算法构造的.总是假设(出于较好或较差的理由)所得(或所构造)的序列具有频率性质，这些性质对于具有分布函数F(z)的某随机变量心独立实现的一个序列来说是“典型的”;因此人们称作根据规律F(习分布的(独立的)随机数.最经常使用的例子为:在区间【O，l]上均匀分布的随机数亡。，尸(亡。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条