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Measurement and analysis of international roughness index using IoT-based system

The study proposes an IoT-based system for measuring road roughness using a combination of accelerometer and GPS sensors. The system collects data on road surface roughness and location, which is processed by a microcontroller and transmitted to a cloud-based MQTT broker. The data is analyzed and vi...

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Main Authors: Hafizh, Hadyan, Abdullah, Rohana, Ateeq, Muhammad, Abdul Majeed, Anwar P.P., Isaac, Matilda, Hu, Bintao
Format: Conference or Workshop Item
Language:English
Published: 2023
Online Access:http://eprints.utem.edu.my/id/eprint/27941/1/Measurement%20and%20analysis%20of%20international%20roughness%20index%20using%20IoT-based%20system.pdf
http://eprints.utem.edu.my/id/eprint/27941/
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spelling my.utem.eprints.279412024-10-09T17:12:02Z http://eprints.utem.edu.my/id/eprint/27941/ Measurement and analysis of international roughness index using IoT-based system Hafizh, Hadyan Abdullah, Rohana Ateeq, Muhammad Abdul Majeed, Anwar P.P. Isaac, Matilda Hu, Bintao The study proposes an IoT-based system for measuring road roughness using a combination of accelerometer and GPS sensors. The system collects data on road surface roughness and location, which is processed by a microcontroller and transmitted to a cloud-based MQTT broker. The data is analyzed and visualized via Node-RED and MATLAB, allowing for the calculation of IRI values for different road segments and the creation of IRI maps. The average IRI values for the eight segmented data, along with the corresponding pavement conditions, were analyzed in this study. The results indicated that Segmented Data 2 had the lowest mean IRI value of 1.24 m/km, which indicated a good pavement condition. Segmented Data 1, 3, 4, 6, 7, and 8 had IRI values ranging from 2.04 to 2.79 m/km, which indicated a fair pavement condition. On the other hand, Segmented Data 5 had the highest IRI value of 6.50 m/km, which indicated a bad pavement condition. The results demonstrate the IoT-based system's capability of assessing the road roughness of different pavement conditions. The IRI mapping is based on real-time data collected from the IoT-based system, which allows for efficient measurement of road roughness. The information obtained can be useful for road management authorities to plan and prioritize road maintenance and repair works, improving road safety. 2023 Conference or Workshop Item PeerReviewed text en http://eprints.utem.edu.my/id/eprint/27941/1/Measurement%20and%20analysis%20of%20international%20roughness%20index%20using%20IoT-based%20system.pdf Hafizh, Hadyan and Abdullah, Rohana and Ateeq, Muhammad and Abdul Majeed, Anwar P.P. and Isaac, Matilda and Hu, Bintao (2023) Measurement and analysis of international roughness index using IoT-based system. In: 2023 IEEE Symposium on Wireless Technology and Applications, ISWTA 2023, 15 August 2023through 16 August 2023, Hybrid, Kuala Lumpur. https://www-scopus-com.uitm.idm.oclc.org/record/display.uri?eid=2-s2.0-85174232033&origin=resultslist&sort=plf-f&src=s&sid=b55ff89e31efefd098739d17ce669a37&sot
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description The study proposes an IoT-based system for measuring road roughness using a combination of accelerometer and GPS sensors. The system collects data on road surface roughness and location, which is processed by a microcontroller and transmitted to a cloud-based MQTT broker. The data is analyzed and visualized via Node-RED and MATLAB, allowing for the calculation of IRI values for different road segments and the creation of IRI maps. The average IRI values for the eight segmented data, along with the corresponding pavement conditions, were analyzed in this study. The results indicated that Segmented Data 2 had the lowest mean IRI value of 1.24 m/km, which indicated a good pavement condition. Segmented Data 1, 3, 4, 6, 7, and 8 had IRI values ranging from 2.04 to 2.79 m/km, which indicated a fair pavement condition. On the other hand, Segmented Data 5 had the highest IRI value of 6.50 m/km, which indicated a bad pavement condition. The results demonstrate the IoT-based system's capability of assessing the road roughness of different pavement conditions. The IRI mapping is based on real-time data collected from the IoT-based system, which allows for efficient measurement of road roughness. The information obtained can be useful for road management authorities to plan and prioritize road maintenance and repair works, improving road safety.
format Conference or Workshop Item
author Hafizh, Hadyan
Abdullah, Rohana
Ateeq, Muhammad
Abdul Majeed, Anwar P.P.
Isaac, Matilda
Hu, Bintao
spellingShingle Hafizh, Hadyan
Abdullah, Rohana
Ateeq, Muhammad
Abdul Majeed, Anwar P.P.
Isaac, Matilda
Hu, Bintao
Measurement and analysis of international roughness index using IoT-based system
author_facet Hafizh, Hadyan
Abdullah, Rohana
Ateeq, Muhammad
Abdul Majeed, Anwar P.P.
Isaac, Matilda
Hu, Bintao
author_sort Hafizh, Hadyan
title Measurement and analysis of international roughness index using IoT-based system
title_short Measurement and analysis of international roughness index using IoT-based system
title_full Measurement and analysis of international roughness index using IoT-based system
title_fullStr Measurement and analysis of international roughness index using IoT-based system
title_full_unstemmed Measurement and analysis of international roughness index using IoT-based system
title_sort measurement and analysis of international roughness index using iot-based system
publishDate 2023
url http://eprints.utem.edu.my/id/eprint/27941/1/Measurement%20and%20analysis%20of%20international%20roughness%20index%20using%20IoT-based%20system.pdf
http://eprints.utem.edu.my/id/eprint/27941/
https://www-scopus-com.uitm.idm.oclc.org/record/display.uri?eid=2-s2.0-85174232033&origin=resultslist&sort=plf-f&src=s&sid=b55ff89e31efefd098739d17ce669a37&sot
_version_ 1814061436671885312
score 13.211869

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