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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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 |
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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 |
_version_ |
1665894789892014080 |
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13.211869 |