Using Smart Card Data Trimmed by Train Schedule to Analyze Metro Passenger Route Choice with Synchronous Clustering
Joint Authors
Li, Wei
Zhang, Xiongfei
Luo, Qin
Cai, Qing
Source
Journal of Advanced Transportation
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-24
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The metro passenger route choice, influenced by both train schedule and time constraints, is important to metro operation and management.
Smart card data (Automatic Fare Collection (AFC) data in metro system) including inbound and outbound swiping time are useful for analysis of the characteristics of passengers’ route choices in metro while they could not reflect the property of train schedule directly.
Train schedule is used in this paper to trim smart card data through removing inbound and outbound walking time to/from platforms and waiting time.
Thus, passengers’ pure travel time in accord with trains’ arrival and departure can be obtained.
Synchronous clustering (SynC) algorithm is then applied to analyze these processed data to calculate passenger route choice probability.
Finally, a case study was conducted to illustrate the effectiveness of the proposed algorithm.
Results showed the proposed algorithm works well to analyze metro passenger route choice.
It was shown that passenger route choice during both peak period and flat period could be clustered automatically, and noise data are isolated.
The probability of route choice calculated through SynC algorithm can be used to revise traditional model results.
American Psychological Association (APA)
Li, Wei& Luo, Qin& Cai, Qing& Zhang, Xiongfei. 2018. Using Smart Card Data Trimmed by Train Schedule to Analyze Metro Passenger Route Choice with Synchronous Clustering. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1181079
Modern Language Association (MLA)
Li, Wei…[et al.]. Using Smart Card Data Trimmed by Train Schedule to Analyze Metro Passenger Route Choice with Synchronous Clustering. Journal of Advanced Transportation No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1181079
American Medical Association (AMA)
Li, Wei& Luo, Qin& Cai, Qing& Zhang, Xiongfei. Using Smart Card Data Trimmed by Train Schedule to Analyze Metro Passenger Route Choice with Synchronous Clustering. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1181079
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181079