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

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...

AI Technical Summary

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 is moving point or staying point, that is to say, continuous analysis must be performed on each user's mobile phone signaling data, resulting in a large amount of data calculation and slow running speed, even when the user causes the signaling data to be lost due to some reasons. When interrupted, an error occurred in the analysis

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