Hierarchical taxi dispatch system with local coordination among micro-level components: WIP abstract

Sota Takashima, Naomi Kuze, T. Ushio
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引用次数: 3

Abstract

Taxi drivers face to poor working conditions such as low wages and long working hours. To improve the conditions, a taxi dispatch system is very important. F. Miao et al. proposed a method for calculating an optimal taxi cruising path based on the model predictive control and the new parameter of supply demand ratio [1]. T. Ushio et al. proposed a method for calculating an optimal taxi cruising path based on a mixed logical dynamical model [2]. X. Chen et al. proposed a hierarchical taxi-dispatch system consisting of global and regional decision-makers [3]. The global decision-maker calculates the optimal taxi dispatch in a longer time period, while the regional ones determine schedules of taxis in the corresponding regions in a shorter time period. However, these previous mechanisms have lower scalability and real-time properties. To tackle these problems, we propose a novel hierarchical support system for a taxi dispatch system. In our proposal, a macro level component calculates the optimal taxi movement by using a taxi flow model, whereas micro level components determine the optimal taxi cruising in the corresponding regions. Both of them are conducted in the same time period.
微级部件局部协调的分层出租车调度系统:WIP抽象
出租车司机面临着工资低、工作时间长等恶劣的工作条件。为了改善这种状况,出租车调度系统是非常重要的。F. Miao等人提出了一种基于模型预测控制和新参数供需比的出租车最优巡航路径计算方法[1]。T. Ushio等人提出了一种基于混合逻辑动力学模型的出租车最优巡航路径计算方法[2]。X. Chen等人提出了一种由全局和区域决策者组成的分层出租车调度系统[3]。全局决策者在较长时间内计算出租车最优调度,区域决策者在较短时间内确定相应区域的出租车调度。然而,这些先前的机制具有较低的可伸缩性和实时性。为了解决这些问题,我们提出了一种新的出租车调度系统分层支持系统。在我们的建议中,宏观层面的组件通过使用出租车流模型来计算最优出租车运动,而微观层面的组件确定相应区域的最优出租车巡航。两者都是在同一时期进行的。
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