Airport passenger grouping model based on dichotomic K-means algorithm

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Airport passenger grouping model based on dichotomic K-means algorithm

ZHONG Xiang, HAN Xu, ZHU Caiyun, WANG Xiaomeng

(Information Technology Department, Tianjin Binhai International Airport , Tianjin 300300, China)

Received:2017-12-25 Revised:2018-01-16 Online:2018-06-24 Published:2018-06-26

Abstract

Abstract: Providing personalized service for passengers is the developing direction for airport service quality improvement.Passenger data of TBIA security information system is extracted, then the passenger grouping models are respectively built according to their personal characteristics and travelling features. Analysis proves that the dichotomic K-means algorithm can effectively group airport passengers with ideal clustering results.

Key words: passenger grouping, airport passenger characteristics, K-means, cluster algorithm

CLC Number:

F560.81

ZHONG Xiang, HAN Xu, ZHU Caiyun, WANG Xiaomeng. Airport passenger grouping model based on dichotomic K-means algorithm[J]. .

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Airport passenger grouping model based on dichotomic K-means algorithm

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