Pavement condition analysis via vehicle mounted accelerometer data

Road anomalies and irregularities such as potholes and uneven surfaces are a common hazard in South East Asia and developing countries. Such hazards pose a threat to the safety and well-being of both civilians going about their daily routine and tourists who are exploring the city. Since bicycles...

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Main Authors: Mohiddeen, Ahmad Jazlan, Rosli, Muhammad Fahim, Mohamad Hanif, Noor Hazrin Hany, Mohd Zaki, Hasan Firdaus, Husman, Muhammad Afif, Abdul Muthalif, Asan Gani, Kumar, Deepak
Format: Article
Language:English
English
Published: IIUM Press 2020
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Online Access:http://irep.iium.edu.my/78318/7/78318%20Pavement%20condition%20analysis%20via%20vehicle.pdf
http://irep.iium.edu.my/78318/8/78318%20Pavement%20condition%20analysis%20via%20vehicle%20SCOPUS.pdf
http://irep.iium.edu.my/78318/
https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/1223/738
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spelling my.iium.irep.783182020-04-27T03:40:28Z http://irep.iium.edu.my/78318/ Pavement condition analysis via vehicle mounted accelerometer data Mohiddeen, Ahmad Jazlan Rosli, Muhammad Fahim Mohamad Hanif, Noor Hazrin Hany Mohd Zaki, Hasan Firdaus Husman, Muhammad Afif Abdul Muthalif, Asan Gani Kumar, Deepak TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Road anomalies and irregularities such as potholes and uneven surfaces are a common hazard in South East Asia and developing countries. Such hazards pose a threat to the safety and well-being of both civilians going about their daily routine and tourists who are exploring the city. Since bicycles and rickshaws are still a common mode of transport used by both civilians and tourists in many South East Asian countries, it is essential to improve the overall quality and smoothness of pavements which are traversed by these vehicles. Management of international sporting and recreational events also require satisfactory road and pavement conditions. Before pavement conditions can be improved, it is an essential prerequisite to obtain comprehensive information about road irregularities such as the location and also severity of the road irregularity (depth of the potholes and height of bumps). In this paper, we propose a method for obtaining mathematical models that represent the overall condition of the pavements that are part of a commonly traversed cycling route. Such mathematical models and coefficients can be stored in the cloud of an Internet of Things (IOT) data analytics systems subsequently leading to identification of regions with severe road irregularities. IIUM Press 2020-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/78318/7/78318%20Pavement%20condition%20analysis%20via%20vehicle.pdf application/pdf en http://irep.iium.edu.my/78318/8/78318%20Pavement%20condition%20analysis%20via%20vehicle%20SCOPUS.pdf Mohiddeen, Ahmad Jazlan and Rosli, Muhammad Fahim and Mohamad Hanif, Noor Hazrin Hany and Mohd Zaki, Hasan Firdaus and Husman, Muhammad Afif and Abdul Muthalif, Asan Gani and Kumar, Deepak (2020) Pavement condition analysis via vehicle mounted accelerometer data. IIUM Engineering Journal, 21 (1). pp. 73-84. ISSN 1511-788X E-ISSN 2289-7860 https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/1223/738 10.31436/iiumej.v21i1.1223
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
topic TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Mohiddeen, Ahmad Jazlan
Rosli, Muhammad Fahim
Mohamad Hanif, Noor Hazrin Hany
Mohd Zaki, Hasan Firdaus
Husman, Muhammad Afif
Abdul Muthalif, Asan Gani
Kumar, Deepak
Pavement condition analysis via vehicle mounted accelerometer data
description Road anomalies and irregularities such as potholes and uneven surfaces are a common hazard in South East Asia and developing countries. Such hazards pose a threat to the safety and well-being of both civilians going about their daily routine and tourists who are exploring the city. Since bicycles and rickshaws are still a common mode of transport used by both civilians and tourists in many South East Asian countries, it is essential to improve the overall quality and smoothness of pavements which are traversed by these vehicles. Management of international sporting and recreational events also require satisfactory road and pavement conditions. Before pavement conditions can be improved, it is an essential prerequisite to obtain comprehensive information about road irregularities such as the location and also severity of the road irregularity (depth of the potholes and height of bumps). In this paper, we propose a method for obtaining mathematical models that represent the overall condition of the pavements that are part of a commonly traversed cycling route. Such mathematical models and coefficients can be stored in the cloud of an Internet of Things (IOT) data analytics systems subsequently leading to identification of regions with severe road irregularities.
format Article
author Mohiddeen, Ahmad Jazlan
Rosli, Muhammad Fahim
Mohamad Hanif, Noor Hazrin Hany
Mohd Zaki, Hasan Firdaus
Husman, Muhammad Afif
Abdul Muthalif, Asan Gani
Kumar, Deepak
author_facet Mohiddeen, Ahmad Jazlan
Rosli, Muhammad Fahim
Mohamad Hanif, Noor Hazrin Hany
Mohd Zaki, Hasan Firdaus
Husman, Muhammad Afif
Abdul Muthalif, Asan Gani
Kumar, Deepak
author_sort Mohiddeen, Ahmad Jazlan
title Pavement condition analysis via vehicle mounted accelerometer data
title_short Pavement condition analysis via vehicle mounted accelerometer data
title_full Pavement condition analysis via vehicle mounted accelerometer data
title_fullStr Pavement condition analysis via vehicle mounted accelerometer data
title_full_unstemmed Pavement condition analysis via vehicle mounted accelerometer data
title_sort pavement condition analysis via vehicle mounted accelerometer data
publisher IIUM Press
publishDate 2020
url http://irep.iium.edu.my/78318/7/78318%20Pavement%20condition%20analysis%20via%20vehicle.pdf
http://irep.iium.edu.my/78318/8/78318%20Pavement%20condition%20analysis%20via%20vehicle%20SCOPUS.pdf
http://irep.iium.edu.my/78318/
https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/1223/738
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