Open AccessTravel Patterns Analysis of Urban Residents Using Automated Fare Collection System
Author(s) -
Wang Ya,
Du Bowen,
Rong Qiannan,
Lin Xia
Publication year - 2016
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2016.01.007
Subject(s) - computer science , data collection , transit (satellite) , character (mathematics) , transport engineering , big data , matrix (chemical analysis) , data mining , public transport , engineering , statistics , mathematics , materials science , geometry , composite material
As one of the essential information, passenger Origin‐destination (OD) matrix is crucial for transit system planning. Automated fare collection (AFC) system is widely used in big cities all around the world, OD data not only can be collected in dynamic way but also through citywide. It is only a byproduct of AFC and have the imperfection. This paper proposes a novel method to infer trip chain information of each commuter's OD matrix based on travel pattern identify, and then the relationship between lines which have the character of the geographical proximity is used to calibrate the result of inferring. A serious of experiment results based on the real data show that the method has relatively high accuracy and can be use to practical application.