Big-data-based taxi service station site selection and feasibility evaluation method

Abstract

The invention discloses a big-data-based taxi service station site selection and feasibility evaluation method. The method comprises the steps of obtaining GPS data of a taxi, conducting preprocessing and removing wrong data; on the basis of the data, extracting information data of a parking position of the taxi; conducting divided period space clustering on the information data of the parking position of the taxi to obtain position information of a parking hot point of each period of time; visualizing a core object of a clustering result, determining the reasonable radius, determining the position range of the parking hot point of the taxi, and using the position range as a preliminary scheme of taxi service station site selection; on the basis of the preliminary scheme of taxi service station site selection, analyzing influence factors of site election feasibility; conducting feasibility evaluation on the preliminary scheme of taxi service station site selection and determining the final site selection scheme. According to the scientific intelligent site selection method, the existing problems that a user has difficulty taking a taxi and the taxi goes on a strike can be solved, the working environment of a taxi driver is improved, and the problem that a taxi is parked freely is solved.

Description

technical field [0001] The invention relates to intelligent transportation technology, in particular to a method for location selection and feasibility evaluation of taxi service stations based on big data. Background technique [0002] As one of the important components of urban public transport, taxi operation will directly affect the traffic conditions of the entire city. Taxi is an important supplement to public transportation in the whole city. It can meet the emergency needs of residents for travel, and can also fill areas not covered by conventional public transportation and urban rail transit. In addition, it can also provide relatively high-quality personalized services. Therefore, the transportation management department attaches great importance to the operation of the taxi industry. [0003] In recent years, the phenomenon of "difficult to hail a taxi" and strikes by drivers in cities has become more serious. Too much time is wasted; on the other hand, taxi dri...

AI Technical Summary

Problems solved by technology

[0003] In recent years, the phenomenon of "difficult to hail a taxi" and strikes by drivers in cities has become more serious. Too much time wasted; on the other hand, taxi drivers are looking for passengers everywhere, resulting in a high empty load rate and even unsatisfactory income

In addition, it is not easy for taxi drivers to find a more suitable place when they need to rest or have a meal, which has led to complaints from taxi drivers

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