A fuzzy-fault classifier system for malfunction traffic light system classification.

The fuzzy-fault classifier (FFC) is a method which is employed as a subsystem in fault detection system. The system is normally utilized in a large and complex traffic light management system. This paper proposes a FFC system to classify the level of seriousness for traffic light failure based on tw...

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Main Authors: Che Soh, Azura, Hassan, Mohd Khair, Abdul Rahman, Ribhan Zafira
Format: Article
Language:English
Published: 2011
Online Access:http://psasir.upm.edu.my/id/eprint/23180/
http://psasir.upm.edu.my/id/eprint/23180/1/A%20fuzzy.pdf
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author Che Soh, Azura
Hassan, Mohd Khair
Abdul Rahman, Ribhan Zafira
author_facet Che Soh, Azura
Hassan, Mohd Khair
Abdul Rahman, Ribhan Zafira
author_sort Che Soh, Azura
building UPM Institutional Repository
collection Online Access
description The fuzzy-fault classifier (FFC) is a method which is employed as a subsystem in fault detection system. The system is normally utilized in a large and complex traffic light management system. This paper proposes a FFC system to classify the level of seriousness for traffic light failure based on two criteria which is faulty indication and road user manners. The system has been designed using 2-stage fuzzy approach techniques with two module classifications. The seriousness of the traffic light failures are classified to four conditions such as normal, non-critical, critical and highly-critical and a signal will be sent to the contractor and authority department via Short Message Service (SMS) for further action. The system has been testified using simulation and successfully implemented in Kuala Lumpur.
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institution Universiti Putra Malaysia
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language English
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publishDate 2011
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spelling upm-231802015-10-16T08:53:18Z http://psasir.upm.edu.my/id/eprint/23180/ A fuzzy-fault classifier system for malfunction traffic light system classification. Che Soh, Azura Hassan, Mohd Khair Abdul Rahman, Ribhan Zafira The fuzzy-fault classifier (FFC) is a method which is employed as a subsystem in fault detection system. The system is normally utilized in a large and complex traffic light management system. This paper proposes a FFC system to classify the level of seriousness for traffic light failure based on two criteria which is faulty indication and road user manners. The system has been designed using 2-stage fuzzy approach techniques with two module classifications. The seriousness of the traffic light failures are classified to four conditions such as normal, non-critical, critical and highly-critical and a signal will be sent to the contractor and authority department via Short Message Service (SMS) for further action. The system has been testified using simulation and successfully implemented in Kuala Lumpur. 2011 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/23180/1/A%20fuzzy.pdf Che Soh, Azura and Hassan, Mohd Khair and Abdul Rahman, Ribhan Zafira (2011) A fuzzy-fault classifier system for malfunction traffic light system classification. Journal of Theoretical and Applied Information Technology, 34 (2 / De). pp. 226-240. ISSN 1992-8645 10.1.1.299.8191
spellingShingle Che Soh, Azura
Hassan, Mohd Khair
Abdul Rahman, Ribhan Zafira
A fuzzy-fault classifier system for malfunction traffic light system classification.
title A fuzzy-fault classifier system for malfunction traffic light system classification.
title_full A fuzzy-fault classifier system for malfunction traffic light system classification.
title_fullStr A fuzzy-fault classifier system for malfunction traffic light system classification.
title_full_unstemmed A fuzzy-fault classifier system for malfunction traffic light system classification.
title_short A fuzzy-fault classifier system for malfunction traffic light system classification.
title_sort fuzzy-fault classifier system for malfunction traffic light system classification.
url http://psasir.upm.edu.my/id/eprint/23180/
http://psasir.upm.edu.my/id/eprint/23180/
http://psasir.upm.edu.my/id/eprint/23180/1/A%20fuzzy.pdf