基于遗传算法的多服务模式公交优化设计

Optimization Design of Multiple Services for Urban Bus Corridor With Genetic Algorithm

摘要:

基于独立公交走廊需求特征，利用公交客流起点到终点（OD）数据，建立了以发车频率和公交车型为主要输出参数的多服务模式公交优化设计模型.针对模型求解的复杂性，应用遗传算法进行求解.最后，结合上海公交737路公交客流走廊数据给出了优化算例.结果表明，模型具有较强的实用性，能快速有效地求解出多服务模式的公交优化组合.

关键词:交通规划; 多服务模式公交; 公交走廊; 遗传算法

Abstract:

Based on the urban transportation demand of bus corridor, this paper studies the optimization design of multiple services with urban transit. For the operation characteristics of bus lines, the optimization model of minimum costs in terms of waiting time, invehicle travel time and operator cost is developed with genetic algorithm(GA). An application of the model to the case of No.737 bus line in Shanghai shows that the optimization model is practical and effective for satisfying the demand of passengers and improving the operating efficiency of bus transit system.

Key words:public transit; multiple services; bus corridor; genetic algorithm(GA)