Detail publikace

Neural Network-Based Train Identification in Railway Switches and Crossings Using Accelerometer Data

KRČ, R. PODROUŽEK, J. KRATOCHVÍLOVÁ, M. VUKUŠIČ, I. PLÁŠEK, O.

Originální název

Neural Network-Based Train Identification in Railway Switches and Crossings Using Accelerometer Data

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Neural Network-Based Train Identification; Railway Switches and Crossings; Accelerometer Data

Autoři

KRČ, R.; PODROUŽEK, J.; KRATOCHVÍLOVÁ, M.; VUKUŠIČ, I.; PLÁŠEK, O.

Vydáno

24. 11. 2020

Nakladatel

Hindawi

ISSN

0197-6729

Periodikum

JOURNAL OF ADVANCED TRANSPORTATION

Ročník

2020

Číslo

1

Stát

Spojené království Velké Británie a Severního Irska

Strany od

1

Strany do

10

Strany počet

10

URL

https://www.hindawi.com/journals/jat/2020/8841810/

Plný text v Digitální knihovně

http://hdl.handle.net/11012/196564

BibTex

@article{BUT168007,
  author="Rostislav {Krč} and Jan {Podroužek} and Martina {Floriánová} and Ivan {Vukušič} and Otto {Plášek}",
  title="Neural Network-Based Train Identification in Railway Switches and Crossings Using Accelerometer Data",
  journal="JOURNAL OF ADVANCED TRANSPORTATION",
  year="2020",
  volume="2020",
  number="1",
  pages="1--10",
  doi="10.1155/2020/8841810",
  issn="0197-6729",
  url="https://www.hindawi.com/journals/jat/2020/8841810/"
}