title: Time prediction model of subway transfer.
abstract: Walking time prediction aims to deduce waiting time and travel time for passengers and provide a quantitative basis for the subway schedule management. This model is founded based on transfer passenger flow and type of pedestrian facilities. Chaoyangmen station in Beijing was taken as the learning set to obtain the relationship between transfer walking speed and passenger volume. The sectional passenger volume of different facilities was calculated related to the transfer passage classification. Model parameters were computed by curve fitting with respect to various pedestrian facilities. The testing set contained four transfer stations with large passenger volume. It is validated that the established model is effective and practical. The proposed model offers a real-time prediction method with good applicability. It can provide transfer scheme reference for passengers, meanwhile, improve the scheduling and management of the subway operation.
authors.affiliation: Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, 100124 China.
authors.forename: Yuyang
authors.initials: Y
authors.lastname: Zhou
authors.affiliation: Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, 100124 China.
authors.forename: Lin
authors.initials: L
authors.lastname: Yao
authors.affiliation: Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, 100124 China.
authors.forename: Yi
authors.initials: Y
authors.lastname: Gong
authors.affiliation: Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, 100124 China.
authors.forename: Yanyan
authors.initials: Y
authors.lastname: Chen
keywords: Passenger flow; Pedestrian facilities; Subway transfer; Time prediction
references.citation: Springerplus. 2013 Nov 23;2:632
references.pmid: 24349946
references.citation: Springerplus. 2014 Jan 24;3:47
references.pmid: 24505558