基于多策略搜索的出租车服务仿真模型

A Multiple Searching Strategies Based Simulation Model for Taxi Services

为更细致、精确地描述出租车服务规律,提出一种依据历史信息和路网供求信息模拟出租车空车搜索行为的动态仿真模型,出租车根据以往的驾驶经验和对路网供求信息的掌握程度决定空车时如何寻找新乘客。仿真结果表明,向出租车提供路网供求信息不能有效提高出租车的空车效率,但有助于缩短乘客平均等待时间;依据平均历史信息的搜索策略能够有效提高空车效率。模型有助于城市交通管理部门更有效地规划和管理出租车运营系统,为其决策提供参考依据。

To obtain detailed and accurate information about urban taxi services,a vacant taxi searching strategy-based simulation model is proposed,in which,the dynamic passenger-searching behavior is based on driving experience and available supply-demand information.Through a simulation experiment,it is shown that the effort to provide taxi drivers with the supply-demand information can not effectively improve taxi utility,but it is helpful to shorten the average passenger waiting time;on the other hand,the vacant taxi efficiency is increased remarkably by introducing a mean history information-based searching strategy.In a word,the model is helpful for supervisors to make decisions to regulate urban taxi operation system and provide better service.