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

Nahrul Khair B. Alang Md. Rashid
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Mechatronics Engineering Department, International Islamic University Malaysia, Kuala Lumpur 50728, Malaysia

Md. Mozasser Rahman
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Mechatronics Engineering Department, International Islamic University Malaysia, Kuala Lumpur 50728, Malaysia

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Published In
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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