IIUM Repository

Pavement condition analysis via vehicle mounted accelerometer data

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

[img] PDF - Published Version
Restricted to Registered users only

Download (775kB) | Request a copy
[img] PDF (SCOPUS) - Supplemental Material
Restricted to Registered users only

Download (218kB) | Request a copy


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.

Item Type: Article (Journal)
Additional Information: 7813/78318
Uncontrolled Keywords: road quality monitoring; accelerometer; vibrations; envelope detection
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: DR Noor Hazrin Hany Mohamad Hanif
Date Deposited: 19 Feb 2020 11:52
Last Modified: 27 Apr 2020 11:40
URI: http://irep.iium.edu.my/id/eprint/78318

Actions (login required)

View Item View Item


Downloads per month over past year