Level Crossing Control: A Novel Method Using Sound Recognition

Authors

  • Sabur Ajibola Alim International Islamic University Malaysia
  • Nahrul Khair B. Alang Md. Rashid International Islamic University Malaysia
  • Md. Mozasser Rahman International Islamic University Malaysia

DOI:

https://doi.org/10.4186/ej.2013.17.3.113

Keywords:

Level crossing, mel frequency cepstral coefficient (MFCC), recurrent neural network (RNN).

Abstract

The level crossing (LX) or railway crossing being an intersection between a public road and a railway line, can be controlled actively or passively. Sound recognition can be used to actively control a level crossing. A system is proposed in this study for the use of sound to control a LX. This proposed system uses Mel Frequency Cepstral Coefficient (MFCC) as feature extractor, and Recurrent Neural Network (RNN) as classifier. The proposed system has shown a great potential that could be harnessed to contribute to the reduction in the loss of lives and properties at the LX.

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Author Biographies

Sabur Ajibola Alim

Mechatronics Engineering Department, International Islamic University Malaysia, Kuala Lumpur 50728, Malaysia

Nahrul Khair B. Alang Md. Rashid

Mechatronics Engineering Department, International Islamic University Malaysia, Kuala Lumpur 50728, Malaysia

Md. Mozasser Rahman

Mechatronics Engineering Department, International Islamic University Malaysia, Kuala Lumpur 50728, Malaysia

Published

Vol 17 No 3, Feb 13, 2013

How to Cite

[1]
S. A. Alim, N. K. B. A. M. Rashid, and M. M. Rahman, “Level Crossing Control: A Novel Method Using Sound Recognition”, Eng. J., vol. 17, no. 3, pp. 113-118, Feb. 2013.

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