Research and analysis of taxi decision-making problem

Rubo Sun, Sunyan Hong, Jiang Liu, Fei Deng, Zhenting Chen, Bo Duan
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引用次数: 0

Abstract

At present, taxi is one of the main transportation modes for passengers to arrive at their destination, and its convenience is increasingly becoming an important transportation mode in many cities. However, taxis queue up for passengers or passengers queue up to take the bus from time to time. Based on this problem, this paper establishes a corresponding mathematical model to analyze the taxi driver's selection strategy after sending passengers to the airport, so that the taxi driver can improve the efficiency of passengers as much as possible, so as to increase the available income. Firstly, in order to further put forward the selection strategy of taxi drivers, this paper reflects the driver's income according to the passenger mileage, no-load mileage, no-load rate and passenger carrying rate of taxis in different periods, and makes a selection strategy for taxi drivers from the aspect of maximum income. Finally, in order to consider the fairness of the airport taxi industry and make the income of these taxis as balanced as possible, we analyze and study from the two aspects of "short distance vehicles" and "long distance vehicles", and solve the problem of "boarding points" by setting up non passable lanes to improve the efficiency of the airport.
出租车决策问题的研究与分析
目前,出租车是乘客到达目的地的主要交通方式之一,其便利性正日益成为许多城市的重要交通方式。然而,出租车排队等待乘客或乘客排队乘坐公共汽车时有发生。基于这一问题,本文建立了相应的数学模型,分析出租车司机在将乘客送到机场后的选择策略,使出租车司机尽可能地提高乘客的效率,从而增加可用收入。首先,为了进一步提出出租车司机的选择策略,本文根据出租车在不同时期的乘客里程、空载里程、空载率和载客率来反映司机的收入,从收入最大化的角度对出租车司机进行选择策略。最后,为了考虑机场出租车行业的公平性,使这些出租车的收入尽可能均衡,我们从“短距离车辆”和“长途车辆”两个方面进行分析研究,并通过设置非通行车道来解决“上车点”问题,提高机场效率。
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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