Method for recognizing difficulty in taking taxi on basis of GPS data

A recognition method and difficulty level technology, applied in the field of taxi analysis, can solve problems such as difficulty and difficulty in calibrating taxi arrival probability distribution

Inactive Publication Date: 2017-01-25
TONGJI UNIV
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, it is difficult to calibrate the arrival probability distribution of taxis, and the situation in different regions is also different, so this method is difficult to apply

Method used

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  • Method for recognizing difficulty in taking taxi on basis of GPS data
  • Method for recognizing difficulty in taking taxi on basis of GPS data
  • Method for recognizing difficulty in taking taxi on basis of GPS data

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Embodiment Construction

[0042] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0043] A method for identifying the difficulty of taking a taxi, such as figure 1 shown, including steps:

[0044] S1: Obtain the taxi operation status data in each time period of the day in each area, where the operation status data includes the number of vehicles entering the area in an empty state during the time period, the number of taxis dropping off passengers in the area, and the number of taxis in the area. The number of taxis that pick up passengers;

[0045] S2: Calculating the difficulty value of taking a taxi in each time period of the day in each area:

[0046] ...

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Abstract

The invention relates to a method for recognizing difficulty in taking a taxi on basis of GPS data. The method comprises steps as follows: S1: taxi operation state data of each time period in one day of each region are acquired, wherein the operation state data comprise the number of taxis entering the region in an empty state within the time period, the number of the taxis having passengers to get off in the region and the number of the taxis having passengers to get on in the region; S2: the taxi-taking difficulty value in each time period in one day of each region is calculated; S3: the taxi-taking difficulty values are discretized into taxi-taking difficulty state indexes Sij; S4: a recurrent taxi-taking difficulty region is determined according to the taxi-taking difficulty state indexes in a longer time period (one month or longer) in each region. Compared with the prior art, the method has the advantages that the taxi-taking difficulty region can be recognized in real time according to real-time taxi GPS data, and a basis is provided for taxi dispatching; the recurrent taxi-taking difficulty region can be recognized according to historical data, and a basis is provided for reasonable distribution of taxi transport capacity and arrangement of taxi beckoning stations.

Description

technical field [0001] The invention relates to a taxi-hailing analysis method, in particular to a method for identifying the difficulty of taxi-hailing based on GPS data. Background technique [0002] Taxi is a common means of transportation to meet the motorized travel needs of urban residents, especially the personalized travel needs. However, due to various historical reasons, the number of taxis in my country’s major cities has basically stagnated in the past ten years, the contradiction of insufficient overall transportation capacity has become increasingly prominent, and the shortage of taxi vehicles during peak hours has caused difficulties in taxis in many places. On the other hand, the taxis in our country mainly adopt the method of recruiting, and the taxis look for passengers through patrolling, resulting in a large number of empty driving and increasing the burden of urban traffic. How to effectively allocate taxi capacity, ensure the balance between supply and...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/30
CPCG06Q50/40
Inventor 段征宇杨一蛟杨东援
Owner TONGJI UNIV
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