摘要
在城市轨道交通快慢车运营组织模式下,对乘客出行时间进行分析,建立乘客出行时间最小模型;利用遗传算法,通过MATLAB程序对该模型进行求解;结合上海轨道交通16号线客流量进行验证,开行快慢车后乘客总出行时间为25642 h,较开行前减少1054 h,节省出行时间3.9%。对比原运营方案,优化方案可在一定程度上节省乘客出行时间,为出行提供便利。
The passenger travel time is firstly analyzed under the fast and slow train running organization mode,a model of minimum passenger travel time is established.Then,the genetic algorithm is used to solve the model through MATLAB program,and the calculation result is verified by the passenger flow data of Shanghai metro Line 16.The result shows that total passenger travel time after adopting the fast and slow train mode is 25642 hours,1054 hours less than before adopting the operation mode,saving 3.9%of the travel time.Obviously,the optimized fast and slow train mode can save passenger travel time to some extent compared with the original train stop plan,and provide convenience for passengers.
作者
张鑫
丁小兵
刘志钢
吴金龙
ZHANG Xin;DING Xiaobing;LIU Zhigang;WU Jinlong(不详;College of Urban Rail Transit,Shanghai University of Engineering Science,201620,Shanghai,China)
出处
《城市轨道交通研究》
北大核心
2021年第10期65-70,74,共7页
Urban Mass Transit
关键词
城市轨道交通
快慢车模式
乘客出行时间
遗传算法
urban rail transit
fast and slow train mode
passenger travel time
genetic algorithm
