Robust and reliable dual the classification system with error compensation module

The toll industry put great emphasis on preventing revenue leakage especially from fraud by toll tellers. An automatic vehicle classification system (AVC) has been developed in order to mitigate the problem based on the classes defined by Malaysian Highway Authority (MHA). The system uses treadle s...

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Bibliographic Details
Main Author:	Ahmad Nasiruddin, Ab Razak
Format:	Thesis
Language:	English
Published:	2014
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/13947/ http://umpir.ump.edu.my/id/eprint/13947/ http://umpir.ump.edu.my/id/eprint/13947/1/FKASA_AHMAD%20NASIRUDDIN%20AB%20RAZAK.pdf

id	ump-13947
recordtype	eprints
spelling	ump-139472016-08-12T03:15:03Z http://umpir.ump.edu.my/id/eprint/13947/ Robust and reliable dual the classification system with error compensation module Ahmad Nasiruddin, Ab Razak TJ Mechanical engineering and machinery The toll industry put great emphasis on preventing revenue leakage especially from fraud by toll tellers. An automatic vehicle classification system (AVC) has been developed in order to mitigate the problem based on the classes defined by Malaysian Highway Authority (MHA). The system uses treadle sensors to map tires and count the number of axles while the optical barrier is used to detect the presence of vehicle. However, since the short lifecycle because of wear and tear due to the nature of them being treaded by the vehicles, the treadle breaks quickly and needs frequent replacement. Disruptions during maintenance and replacement causing inconvenience and unreliability that results in a steady demand by worldwide toll collection industries for replacement or at least enhancement of the technology. Two approaches have been made to mitigate this problem. First, the materials in the treadle are improved and second, a system to compensate for small errors is developed. The sensor is changed from fragile contact switch to strain gage that has high fatigue limit. The new sensor housing is made out of stainless steel that has high fatigue limit of 260 MPa. Furthermore, to increase the treadle endurance, the sensors are contained in elastomeric material which possesses hardness of 70 (Shore A scale) that protects the sensors from external impact of vehicles yet still allows force to be transferred to the sensor. The new treadle sensor was tested and can last more than 5 million treading cycles as required by the industry. Moreover, a robust dual tire classification module is installed in the system that can maintain high accuracy even when some sensors have error. Test using simulated data shows that the algorithm can maintain 100% accuracy when two errors are present. The module was also tested on actual data that gives 99.83% accuracy. With these enhancements, the lifecycle of the device is elongated beyond 5 million cycles without compromising the accuracy. Thus, it prevents revenue leakage and avoids traffic disruptions that will contribute positively to the economy. 2014 Thesis NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/13947/1/FKASA_AHMAD%20NASIRUDDIN%20AB%20RAZAK.pdf Ahmad Nasiruddin, Ab Razak (2014) Robust and reliable dual the classification system with error compensation module. Masters thesis, Universiti Kebangsaan Malaysia. http://iportal.ump.edu.my/lib/item?id=chamo:83605&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Ahmad Nasiruddin, Ab Razak Robust and reliable dual the classification system with error compensation module
description	The toll industry put great emphasis on preventing revenue leakage especially from fraud by toll tellers. An automatic vehicle classification system (AVC) has been developed in order to mitigate the problem based on the classes defined by Malaysian Highway Authority (MHA). The system uses treadle sensors to map tires and count the number of axles while the optical barrier is used to detect the presence of vehicle. However, since the short lifecycle because of wear and tear due to the nature of them being treaded by the vehicles, the treadle breaks quickly and needs frequent replacement. Disruptions during maintenance and replacement causing inconvenience and unreliability that results in a steady demand by worldwide toll collection industries for replacement or at least enhancement of the technology. Two approaches have been made to mitigate this problem. First, the materials in the treadle are improved and second, a system to compensate for small errors is developed. The sensor is changed from fragile contact switch to strain gage that has high fatigue limit. The new sensor housing is made out of stainless steel that has high fatigue limit of 260 MPa. Furthermore, to increase the treadle endurance, the sensors are contained in elastomeric material which possesses hardness of 70 (Shore A scale) that protects the sensors from external impact of vehicles yet still allows force to be transferred to the sensor. The new treadle sensor was tested and can last more than 5 million treading cycles as required by the industry. Moreover, a robust dual tire classification module is installed in the system that can maintain high accuracy even when some sensors have error. Test using simulated data shows that the algorithm can maintain 100% accuracy when two errors are present. The module was also tested on actual data that gives 99.83% accuracy. With these enhancements, the lifecycle of the device is elongated beyond 5 million cycles without compromising the accuracy. Thus, it prevents revenue leakage and avoids traffic disruptions that will contribute positively to the economy.
format	Thesis
author	Ahmad Nasiruddin, Ab Razak
author_facet	Ahmad Nasiruddin, Ab Razak
author_sort	Ahmad Nasiruddin, Ab Razak
title	Robust and reliable dual the classification system with error compensation module
title_short	Robust and reliable dual the classification system with error compensation module
title_full	Robust and reliable dual the classification system with error compensation module
title_fullStr	Robust and reliable dual the classification system with error compensation module
title_full_unstemmed	Robust and reliable dual the classification system with error compensation module
title_sort	robust and reliable dual the classification system with error compensation module
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/13947/ http://umpir.ump.edu.my/id/eprint/13947/ http://umpir.ump.edu.my/id/eprint/13947/1/FKASA_AHMAD%20NASIRUDDIN%20AB%20RAZAK.pdf
first_indexed	2023-09-18T22:17:08Z
last_indexed	2023-09-18T22:17:08Z
_version_	1777415412145717248

Robust and reliable dual the classification system with error compensation module

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