Abstract:

In view of the location of suburban railway that service for long-distance commuter passengers and the uneven distribution of passenger flow arrival, it is proposed to carry out various stop mode trains in the suburban railway by means of bus- based operation mode. According to the arrival distribution, the suburban passenger flow is divided into two parts: uniform arrival and uneven arrival. And the additional cost of the enterprise caused by the diversification of stops is considered. The optimization model of suburban train operation plan is established based on the minimum travel time and minimum operating cost. According to the characteristics of passenger flow in suburban railways, this paper analyzes the dynamic influence relationship between train operation plan and passenger selection, and gives the mixed passenger flow allocation method in multi-stop and bus-based operation mode of suburban trains. On this basis, a genetic algorithm is designed. The example analysis shows that compared with the uniform arrival mode, the operation plan given by this model can effectively reduce the travel time and operation cost, and has better operation benefits.

Key words: railway transportation, train opening plan, passenger arrival distribution, suburban railway, integer programming, genetic algorithm

摘要：

针对市郊铁路服务长距离通勤客流的定位和客流到达分布不均的特征，提出在市郊铁路以公交化方式开行多种停站模式列车.将市郊客流按照到达分布的不同，分为均匀到达和非均匀到达两部分，使用混合分布刻画不同列车服务频率下的两类客流到站方式，并考虑停站多样化产生的企业附加成本，建立以乘客出行时间最少和企业运营成本最低为目标的市郊列车开行方案优化模型.结合市郊客流特点，分析列车开行方案与乘客选择间的动态影响关系，给出在市郊列车多停站、公交化运营时的混合客流分配方法；以该方法为迭代基础，设计了遗传求解算法.算例分析表明，与均匀到达模式相比，本模型给出的开行方案可有效降低出行时间和开行成本，具有更好的开行效益.

关键词: 铁路运输, 列车开行方案, 乘客到达规律, 市郊铁路, 整数规划, 遗传算法