Optimization of Taxi Request Order Coordination using Monte-Carlo Method

A. Kirilyuk, I. Trofimova
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Abstract

The goal of the work is the development of optimal routing which will increase the probability of order and will improve interaction of drivers within the system. In this paper the Monte-Carlo method is used to model the taxi order system and improve the taxi drivers management within one company. This method is aimed at optimizing the operation of the taxi application. In this paper we construct the statistical model, it allows to make predictions with the given distributions and with known statistical data, which sector is optimal from the point of obtaining an order. We describe the implementation of the proposed algorithm in the company. Based on this algorithm a part of the taxi application functionality could be created, which allows to optimize the work of drivers. We demonstrate the execution of the algorithm on the example. To create the above-described functional of the taxi application we combine mathematical methods and web programming techniques.
基于蒙特卡罗方法的出租车订单协调优化
工作的目标是开发最优路线,这将增加有序的概率,并将改善系统内司机的互动。本文采用蒙特卡罗方法对出租车订车系统进行建模,以改进公司内部出租车司机的管理。该方法旨在优化出租车应用程序的运行。在本文中,我们构造了一个统计模型,它允许在给定的分布和已知的统计数据下,从获得一个阶数的角度来预测哪个扇区是最优的。我们描述了所提出的算法在公司中的实现。基于该算法,可以创建出租车应用程序的一部分功能,从而可以优化司机的工作。我们在示例上演示了算法的执行。为了创建上述出租车应用程序的功能,我们结合了数学方法和web编程技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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