Airport arrival and departure passenger identification and passenger condition analysis method based on mobile phone signaling data

A technology of mobile phone signaling and analysis methods, applied in the field of big data, which can solve the problems of large amount of data calculation, slow operation speed, and analysis errors, etc., and achieve the effects of low interference of abnormal data and low probability of misjudgment

Pending Publication Date: 2019-07-16
江苏号百科技有限公司
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Problems solved by technology

In this method, on the one hand, the factors of airport staff and airport resident personnel are not considered; on the other hand, this method needs to judge the movement trajectory and direction of passengers at the airport through mobile phone signaling data, and further judge the location of each positioning point. The feature

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  • Airport arrival and departure passenger identification and passenger condition analysis method based on mobile phone signaling data
  • Airport arrival and departure passenger identification and passenger condition analysis method based on mobile phone signaling data
  • Airport arrival and departure passenger identification and passenger condition analysis method based on mobile phone signaling data

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[0034] In order to better understand the technical content of the present invention, specific embodiments are described below in conjunction with the accompanying drawings.

[0035] Combine figure 1 , An airport arrival and departure passenger identification and passenger condition analysis method based on mobile phone signaling data, characterized in that the method includes:

[0036] S1: Obtain mobile phone signaling data within the airport area during the analysis period, extract the encrypted mobile phone number of the mobile phone user corresponding to the mobile phone signaling data as the unique identification code of the mobile phone user, and create a list of mobile phone users in the airport area.

[0037] The list of mobile phone users in the airport area includes various types of users such as airport arrival and departure passengers, airport staff, airport area resident personnel, drop-off personnel, and people passing by the airport. In the list of mobile phone users in...

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Abstract

The invention discloses an airport arrival and departure passenger identification and passenger situation analysis method based on mobile phone signaling data. By means of mobile phone signaling data,detailed identification of travel identities of users is achieved through four steps of airport area mobile phone user list extraction, airplane travel related user list extraction, airplane travel related user whole-city range mobile phone signaling data reading and preprocessing and airport arrival and departure passenger identification, and then airport arrival and departure passenger quantityis analyzed, and passenger flow attribute characteristics are mined. The identification process only needs to know the regional positions of the first mobile phone signaling data and the last mobilephone signaling data of the current day of the user; t the travel identity of the user is accurately judged by the aid of the middle regional position, passenger flow volume, passenger flow attributes, sources, directions and other passenger condition characteristics of airport arrival and departure passengers are further analyzed, and auxiliary decisions are provided for passenger flow managementand transport organization of large-scale comprehensive hubs such as airports. The method is low in misjudgment probability and is less influenced by abnormal data interference.

Description

technical field [0001] The invention relates to the field of big data technology, in particular to a method for airport arrival and departure passenger identification and passenger situation analysis based on mobile phone signaling data. Background technique [0002] Airport passenger flow statistics and analysis are crucial to the operation of the airport, and even the urban planning and daily management of the city where the airport is located. Airport passenger flow statistics items include airport arrival and departure passenger flow, passenger flow attributes, passenger flow sources, passenger flow destinations, etc., in On the premise of mastering the passenger flow of the airport, it will help the airport to adjust its own infrastructure, flight numbers, airport traffic, airport staff deployment, etc. [0003] The aforementioned airport passenger flow statistics items are all dynamic data, which are affected by various factors and require real-time analysis. At presen...

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Application Information

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IPC IPC(8): G06Q50/30H04W4/029H04W4/30
CPCG06Q50/30H04W4/029H04W4/30Y02D30/70
Inventor 刘玲慧王拓黄强松苏正洋李青林张雯沙文萍
Owner 江苏号百科技有限公司
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