基于遗传算法的高速铁路枢纽站轨道交通换乘优化问题

Optimization of rail transit transfer in high-speed railway hub station based on genetic algorithm

针对高铁枢纽站轨道交通换乘优化的问题,以兰州西客站为研究对象,构建经济性、舒适度、设施通行能力三者综合的最大效益函数模型,结合智能优化算法中的遗传算法求解最优的换乘设施数量,输出合理的设施配置方案。根据模型输出的优化方案可得,人工售票处、自动售票机、安检机、检票机的数量分别为6、27、7、25时为最优设施数量配置,比优化前的配置数量更少,在保证乘客换乘服务需求的同时,还减少了多余的设施成本。

In view of the problem of rail transit transfer optimization in high-speed railway hub stations,when Lanzhou West Railway Station is taken as the research object,the maximum benefit function model of economy,comfort and facility capacity is constructed,the optimal number of transfer facilities is solved combined with the genetic algorithm in the intelligent optimization algorithm,and the reasonable facility configuration scheme is output.According to the optimization scheme of the model output,the number of manual ticket office,automatic ticket machine,security check machine and ticket checking machine is 6,27,7 and 25 respectively for the optimal number of facilities,which is less than the number before optimization,while ensuring the demand of passenger transfer service,but also reduces the excess cost of facilities.