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.
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Measurement and analysis of international roughness index using IoT-based system.pdf Restricted to Repository staff only Download (1MB) |
Abstract
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Accelerometer, International roughness index, Internet of things, Sensor |
| Divisions: | Faculty Of Industrial And Manufacturing Technology And Engineering |
| Depositing User: | Maizatul Najwa Ahmad |
| Date Deposited: | 09 Oct 2024 17:12 |
| Last Modified: | 09 Oct 2024 17:12 |
| URI: | http://eprints.utem.edu.my/id/eprint/27941 |
| Statistic Details: | View Download Statistic |
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