节点文献
用遗传算法求解拥挤条件下的公共交通随机用户平衡配流模型
Gentetic Algorithm for Solving a Stochastic User Equilibrium Assignment Model of Congested Transit Network
【摘要】 在超级路径的概念之上 ,描述城市公交网络的系统特征 ,分析拥挤条件下乘客选择路线的原则和不确定因素的影响 ,提出了阻抗函数 ,给出一个随机用户平衡配流模型 ,并证明其最优解满足SUE (StochasticUserEquilibrium)随机平衡原则 ,提出用快速搜索算法———遗传算法GA (GeneticAlgorithm)求解模型 ,最后用一个简单的算例进行了验算。
【Abstract】 In this paper, the system character of urban transit network and the principle of passenger how to choose route when congestion exists is analyzed,also uncertain factors are discussed. Further, link cost function is developed and a stochastic user equilibrium assignment model which satisfies the SUE(Stochastic User Equilibrium) principle is formulated, then GA(Genetic Algorithm) is cooperated with the model. Finally, a simple numerical example is given.
【关键词】 公交网络;
平衡条件;
阻抗函数;
等待时间;
延误时间;
【Key words】 Transit network; Equilibrium condition; Cost function; Waiting?time; Delay?time;
【Key words】 Transit network; Equilibrium condition; Cost function; Waiting?time; Delay?time;
【基金】 国家自然科学基金!(79970 0 1 4 )
- 【文献出处】 公路交通科技 ,JOURNAL OF HIGHWAY AND TRANSPORTATION RESEACH ANDK DEVELOPMENT , 编辑部邮箱 ,2000年02期
- 【分类号】U491.123
- 【被引频次】51
- 【下载频次】699