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...

Full description

Bibliographic Details
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
Published:	IIUM Press 2020
Subjects:	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Online Access:	http://irep.iium.edu.my/78318/ http://irep.iium.edu.my/78318/ http://irep.iium.edu.my/78318/ http://irep.iium.edu.my/78318/1/Pavement%20Condition%20Analysis.pdf

id	iium-78318
recordtype	eprints
spelling	iium-783182020-02-19T03:53:27Z 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/78318/1/Pavement%20Condition%20Analysis.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
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	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/ http://irep.iium.edu.my/78318/ http://irep.iium.edu.my/78318/ http://irep.iium.edu.my/78318/1/Pavement%20Condition%20Analysis.pdf
first_indexed	2023-09-18T21:50:21Z
last_indexed	2023-09-18T21:50:21Z
_version_	1777413727702745088

Pavement condition analysis via vehicle mounted accelerometer data

Similar Items