Journal article
H. Bello-Salau, A. Aibinu, E. Onwuka, J. Dukiya, A. Onumanyi, A. O. Ighabon
2016
2016
Semantic Scholar
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APA
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Bello-Salau, H., Aibinu, A., Onwuka, E., Dukiya, J., Onumanyi, A., & Ighabon, A. O. (2016). Development of a Laboratory Model for Automated Road Defect Detection.
Chicago/Turabian
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Bello-Salau, H., A. Aibinu, E. Onwuka, J. Dukiya, A. Onumanyi, and A. O. Ighabon. “Development of a Laboratory Model for Automated Road Defect Detection” (2016).
MLA
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Bello-Salau, H., et al. Development of a Laboratory Model for Automated Road Defect Detection. 2016.
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@article{h2016a,
title = {Development of a Laboratory Model for Automated Road Defect Detection},
year = {2016},
author = {Bello-Salau, H. and Aibinu, A. and Onwuka, E. and Dukiya, J. and Onumanyi, A. and Ighabon, A. O.}
}
Abstract
Potholes and bumps are responsible for a large number of accidents on roads, leading to the loss of lives and properties. Developing proactive and early detection measures will be an effective approach for reducing accidents, and a source of information for timely road maintenance. Consequently, a laboratory model of a road defect detection system is proposed using a combination of an Ultrasonic sensor, a Global Positioning System (GPS) and an alert system. The methodology used involved computing the best placement for the ultrasonic sensor, and developing an algorithm for detecting the presence/absence of bumps or potholes using the time taken to receive reflected pulse signals. This laboratory model is also capable of logging road profile information to a database where vehicle users and road maintenance agencies can access for planning route movement and prioritising road repairs.
