针对目前出租车服务市场盛行使用打车软件现状,分析了存在打车服务情况下出租车司机载客与乘客的打车行为,构建了基于离散事件的出租车运营市场仿真模型.模型考虑了乘客需求在路网的分布,以及空驶出租车巡游搜索乘客和接单行为,模拟了乘客在交通路网中使用打车软件召唤空驶出租车行为及出租车搜索乘客的动态过程,采取事件扫描法推进仿真时间步长,得到乘客的平均等待时间和出租车平均收益等指标.算例网络的仿真结果表明,在相同的出租车市场规模下,随着使用打车软件乘客比例的增加,并不能有效减少乘客的平均等待时间;而在相同打车软件使用率下,随着出租车数量增加,乘客是否使用打车软件,其平均等待时间都会减少,并通过多次仿真结果得到综合考虑出租车收益与乘客等待时间的最优出租车市场规模.
As the application of taxi-calling Apps in urban taxi service system result in huge debate on whether these Apps can enhance the service quantity of taxicab industry. We construct a discrete event system simulation model. The model simulates the dynamic process of customers' calling for taxi by Apps in network and the strategy of vacant taxi in searching for new customers. The result shows that in the fix taxi fleet size the average waiting times of the customers using taxi-calling Apps will increase when the proportion of customers that use taxi-calling Apps rise. Meanwhile with the expanding of taxi fleet size, two types of customer's waiting times will reduce. Lastly the optimal taxi fleet size is determined by maximizing the integrated service quality index in simulation