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Passenger Train Delay Classification

Passenger Train Delay Classification

Masoud Yaghini, Maryam Setayesh Sanai, Hossein Amin Sadrabady
Copyright: © 2015 |Pages: 10
ISBN13: 9781466684737|ISBN10: 1466684739|EISBN13: 9781466684744
DOI: 10.4018/978-1-4666-8473-7.ch014
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MLA

Yaghini, Masoud, et al. "Passenger Train Delay Classification." Transportation Systems and Engineering: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2015, pp. 310-319. https://doi.org/10.4018/978-1-4666-8473-7.ch014

APA

Yaghini, M., Sanai, M. S., & Sadrabady, H. A. (2015). Passenger Train Delay Classification. In I. Management Association (Ed.), Transportation Systems and Engineering: Concepts, Methodologies, Tools, and Applications (pp. 310-319). IGI Global. https://doi.org/10.4018/978-1-4666-8473-7.ch014

Chicago

Yaghini, Masoud, Maryam Setayesh Sanai, and Hossein Amin Sadrabady. "Passenger Train Delay Classification." In Transportation Systems and Engineering: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 310-319. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-8473-7.ch014

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Abstract

One of the most popular data mining areas, which estimate future trends of data, is classification. This research is dedicated to predict Iranian passenger train delay with high accuracy over Iranian railway network. A hybrid method based on neuro-fuzzy inference system and Two-step clustering is used for this purpose. The results indicate that the hybrid method is superior over the other common classification methods. The result can be used by train dispatcher to accurate schedule trains to diminish train delay average.

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