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.