摘要
分析铁路出站乘客转乘地铁的行为特征与客流规律,以衔接车站乘客总候车时间最小为目标,建立城市轨道交通发车时刻优化模型,并设计相应的遗传算法进行求解。北京地铁7号线案例分析表明,优化后的时刻表能够减少乘客候车时间6.47%,且在铁路列车密集到达的地铁平峰时段,优化效果尤为显著。
This paper analyses the passenger＇s behaviors and flow characteristics within the transferring from rail-way to subway. A train departure time adjustment model is proposed to minimize passenger＇s waiting time and Ge-netic Algorithm is applied to attain the optimal solution. A case study on Beijing Metro Line 7 shows that the pro-posed model is able to save 6.47% of passengers＇ waiting time and the time saving is more significant in the off peak hours when mainline trains arrived at railway stations intensively.
出处
《铁道科学与工程学报》
CAS
CSCD
北大核心
2016年第12期2503-2507,共5页
Journal of Railway Science and Engineering
基金
国家重点基础研究发展规划(973计划)项目(2012CB725406)
国家自然科学基金资助项目(71571016)
关键词
城市轨道交通
运行图优化
乘客候车时间
遗传算法
metro system
timetable optimization
passenger waiting time
genetic algorithm
