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

Civil Engineering

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