Neural Network-Based Train Identification in Railway Switches and Crossings Using Accelerometer Data
Joint Authors
Krč, Rostislav
Podroužek, Jan
Kratochvílová, Martina
Vukušič, Ivan
Plášek, Otto
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-24
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This paper aims to analyse possibilities of train type identification in railway switches and crossings (S&C) based on accelerometer data by using contemporary machine learning methods such as neural networks.
That is a unique approach since trains have been only identified in a straight track.
Accelerometer sensors placed around the S&C structure were the source of input data for subsequent models.
Data from four S&C at different locations were considered and various neural network architectures evaluated.
The research indicated the feasibility to identify trains in S&C using neural networks from accelerometer data.
Models trained at one location are generally transferable to another location despite differences in geometrical parameters, substructure, and direction of passing trains.
Other challenges include small dataset and speed variation of the trains that must be considered for accurate identification.
Results are obtained using statistical bootstrapping and are presented in a form of confusion matrices.
American Psychological Association (APA)
Krč, Rostislav& Podroužek, Jan& Kratochvílová, Martina& Vukušič, Ivan& Plášek, Otto. 2020. Neural Network-Based Train Identification in Railway Switches and Crossings Using Accelerometer Data. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1176438
Modern Language Association (MLA)
Krč, Rostislav…[et al.]. Neural Network-Based Train Identification in Railway Switches and Crossings Using Accelerometer Data. Journal of Advanced Transportation No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1176438
American Medical Association (AMA)
Krč, Rostislav& Podroužek, Jan& Kratochvílová, Martina& Vukušič, Ivan& Plášek, Otto. Neural Network-Based Train Identification in Railway Switches and Crossings Using Accelerometer Data. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1176438
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1176438