An ELM-Based Approach for Estimating Train Dwell Time in Urban Rail Traffic
Joint Authors
Chu, Wen-jun
Zhang, Xing-chen
Chen, Jun-hua
Xu, Bin
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-27
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Dwell time estimation plays an important role in the operation of urban rail system.
On this specific problem, a range of models based on either polynomial regression or microsimulation have been proposed.
However, the generalization performance of polynomial regression models is limited and the accuracy of existing microsimulation models is unstable.
In this paper, a new dwell time estimation model based on extreme learning machine (ELM) is proposed.
The underlying factors that may affect urban rail dwell time are analyzed first.
Then, the relationships among different factors are extracted and modeled by ELM neural networks, on basis of which an overall estimation model is proposed.
At last, a set of observed data from Beijing subway is used to illustrate the proposed method and verify its overall performance.
American Psychological Association (APA)
Chu, Wen-jun& Zhang, Xing-chen& Chen, Jun-hua& Xu, Bin. 2015. An ELM-Based Approach for Estimating Train Dwell Time in Urban Rail Traffic. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073915
Modern Language Association (MLA)
Chu, Wen-jun…[et al.]. An ELM-Based Approach for Estimating Train Dwell Time in Urban Rail Traffic. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1073915
American Medical Association (AMA)
Chu, Wen-jun& Zhang, Xing-chen& Chen, Jun-hua& Xu, Bin. An ELM-Based Approach for Estimating Train Dwell Time in Urban Rail Traffic. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073915
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073915