关键词: 城市交通, 需求响应式公交, 惩罚函数, 静态调度, 动态调度, 遗传算法

Abstract: The operation and scheduling of demand responsive transit is a complicated optimization control project. This paper mainly studies how to use the information conditions provided by the vehicle networking platform to study the scheduling method of demand responsive transit, so as to provide travelers with high-quality transportation services under the mode of both advance and real-time reservation. Firstly, the goal and method of dispatching are designed, then by balancing the benefits of both supply and demand, and fully considering the diversified travel needs of passengers, the static and dynamic scheduling models are established, which are obtained by genetic algorithm and precise algorithm respectively. Finally, two different types of vehicles are used to verify the effectiveness of the scheduling method and model proposed in this paper,the results show that the comprehensive benefit of the larger passenger-carrying vehicle is better, but the smaller passenger-carrying vehicle can better meet the passenger’s travel time requirements.

Key words: urban traffic, demand responsive transit, penalty function, static scheduling, dynamic scheduling, genetic algorithm