摘要
以拥挤条件下的出行阻抗函数为基础,通过引入随机均衡配流条件,构建了Logit形式的Fisk轨道交通随机均衡配流模型.根据模型的特点,以Bregman算法求解模型的拉氏算子为基础,给出了改进的用于求解轨道交通随机均衡配流模型的Frank-wolfe算法.最后通过一个算例说明了算法的有效性和合理性.
On the basis of passenger impedance functions for congested rail transit, a stochastic user equilibrium condition is introduced to construct the Logit-based Fisk stochastic user equilibrium model. According to characteristics of the model, the Lagrange operators of the model are solved by the Bregman algorithm and thereby a revised Frank-wolfe algorithm is given to solve the rail transit stochastic user equilibrium model. Finally,. a numerical example is used to show that the proposed model and algorithm are rational and effective.
出处
《重庆工学院学报》
2007年第21期26-30,共5页
Journal of Chongqing Institute of Technology
关键词
随机均衡
轨道交通
拥挤条件
客流分配
stochastic user equilibrium
rail transit
congested conditions
passenger flow assignment
