Particle swarm optimization for train schedule of Y-type train routing in urban rail transit

作     者：WEI Zi-wen 韦子文

作者机构：China Railway First Survey and Design Institute Group Co.Ltd.Xi’an 710043China 

出 版 物：《Journal of Measurement Science and Instrumentation》 (测试科学与仪器（英文版）)

年 卷 期：2020年第11卷第1期

页      面：87-93页

核心收录：

学科分类：08[工学] 0835[工学-软件工程] 081202[工学-计算机软件与理论] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：urban traffic train schedule particle swarm optimization(PSO) classification learning Y-type train routing 

摘      要：The train schedule usually includes train stop schedule,routing scheme and formation *** is the basis of subway *** the practical experience of transport organizations and the principle of the best match between transport capacity and passenger flow demand,taking the minimum value of passenger travel costs and corporation operating costs as the goal,considering the constraints of the maximum rail capacity,the minimum departure frequency and the maximum available electric multiple unit,an optimization model for city subway Y-type operation mode is constructed to determine the operation section of mainline as well as branch line and the train frequency of the Y-type operation *** particle swarm optimization(PSO)algorithm based on classification learning is used to solve the model,and the effectiveness of the model and algorithm is verified by a practical *** results show that the length of branch line in Y-type operation affects the cost of waiting time of passengers significantly.