Validity research of judging boarding stop by cluster analysis smart card data

Author

Jun, Chen

Author_Institution

Sch. of Civil Eng., XI´´an Univ. of Archit. & Technol., Xi´´an, China

fYear

2011

fDate

24-26 June 2011

Firstpage

5625

Lastpage

5628

Abstract

Transaction data of Automatic Fare Collection in public transportation record travel time, travel route number of passengers, etc. Analyzing and mining these data, many travel characteristics and laws of transit passengers can be attained, which are important to improve the level of public transit planning and management. Judging boarding stop of passengers is a basis of smart card analysis. Judging boarding stop by cluster analysis of boarding time was presented by Southeast University. However, Up to now, the validity of the method hasn´t researched. This paper collected smart card data and relevant data of Shenzhen City, and tested the method. Then the paper evaluated precision of the method through field investigation data of bus operation and analyzed the influence factors. Finally, the improved method was presented.

Keywords

automated highways; data mining; smart cards; statistical analysis; traffic engineering computing; transaction processing; transportation; Shenzhen City; Southeast University; automatic fare collection; boarding stop; cluster analysis smart card data; data mining; public transit management; public transit planning; public transportation record travel time; transaction data; transit passengers; travel route; Cities and towns; Data models; Integrated circuits; Planning; Servers; Smart cards; Transportation; boarding stop; cluster analysis; smart card; validity;

fLanguage

English

Publisher

ieee

Conference_Titel

Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-9172-8

Type

conf

DOI

10.1109/RSETE.2011.5965628

Filename

5965628