Passenger transportation demand index computing method based on user query logs

A technology of passenger transportation and calculation method, applied in the field of transportation, can solve problems such as difficult to accurately and directly obtain passenger travel needs, and achieve the effect of overcoming the impact

Inactive Publication Date: 2018-10-30
BEIJING JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Due to the huge number of passengers in the transportation sector, it is difficult to accurately and directly obtain the travel needs of passengers simply through surveys and statistics.

Method used

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  • Passenger transportation demand index computing method based on user query logs
  • Passenger transportation demand index computing method based on user query logs
  • Passenger transportation demand index computing method based on user query logs

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Embodiment Construction

[0020] The processing flow of a passenger traffic demand index modeling and calculation method based on user query logs proposed by an embodiment of the present invention includes the following steps:

[0021] Step S1, analyze the original user query log data and real booking log data in the database within a certain period of time, the above time period is in units of ten minutes, in practical applications, you can also choose to use time intervals such as hours and days as units, Denoise, serialize, convert, decompress, etc. unstructured original user query log data and real booking log data;

[0022] Extract meaningful fields for demand index calculation from the original user query log data and real booking log data. The user query log data includes the date corresponding to the user query time, the hour value corresponding to the user query time, and the user query time corresponding to The minute value, user query channel, departure city, destination city, departure date...

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Abstract

The invention provides a passenger transportation demand index modeling and computing method based on user query logs. The method comprises the steps of extracting and analyzing user query log data and real ticket booking data from a database; extracting a channel query model classification result based on user query data from the database; allocating weights to different classes of channels, fitting the real ticket booking data, and obtaining the optimum solution of the weight of each class of channels through utilization of a mode search algorithm; and computing a transportation demand indexof each travel route according to query quantity data of different classes of channels for different routes, and the class weights. According to the transportation demand index computing method provided by the embodiment of the invention, passenger travel demands can be reflected relatively visually, and the data support is provided for managers and marketers in the field of transportation.

Description

technical field [0001] The invention relates to user query log data processing and analysis technology in the traffic field, in particular, it can calculate passenger traffic demand index based on user query log, real booking volume data and channel query mode classification results. Background technique [0002] In recent years, with the rapid development of aviation, railways, highways and other transportation fields, the travel demand of passengers has attracted more and more attention from transportation managers and market practitioners. A timely understanding of passenger travel needs will help related companies in the transportation field to take corresponding countermeasures in a timely manner, thereby improving their revenue management level, improving service quality, and improving passenger travel experience. [0003] Due to the large number of passengers in the transportation sector, it is difficult to accurately and directly obtain the travel needs of passengers...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 林友芳万怀宇
Owner BEIJING JIAOTONG UNIV
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