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IOT enabled system for monitoring and detecting roadways defects
Abstract
Road infrastructure is crucial for safe, efficient, and sustainable transportation, but poorly maintained roads with potholes pose risks like accidents, vehicle damage, and delays. This project introduces an Arduino-based Pothole Detection Robot, an innovative solution to autonomously monitor road conditions and notify authorities for timely maintenance. Equipped with ultrasonic and IR sensors, it detects potholes, measures their depth, and identifies road humps, displaying real-time data on an LCD. Using a GSM900A module, it sends precise location details of hazards to authorities, enabling quick action. Powered by DC motors and an L298N motor driver, the robot navigates various terrains, offering a cost- effective alternative to manual inspections. Its scalable design supports future upgrades, such as GPS and machine learning, contributing to smarter urban infrastructure and improved road safety.
References
Alrajhi, A., Roy, K., Qingge, L., & Kribs, J. (2023). Detection of Road Condition Defects Using Multiple Sensors and IoT Technology. IEEE Transactions on Intelligent Transportation Systems.
Yu, J., Jiang, J., Fichera, S., Paoletti,
P., Layzell, L., Mehta, D., & Luo, S. (2024). Road Surface Defect Detection - From Image-based to Non-image-based. IEEE Transactions on Intelligent Transportation Systems.
Al-Shaghouri, A., Alkhatib, R., & Berjaoui, S. (2021). Real-Time Pothole Detection Using Deep Learning. arXiv preprint arXiv:2107.06356.
Safyari, Y., Mahdianpari, M., & Shiri, H. (2024). A Review of Vision- Based Pothole Detection Methods Using Computer Vision and Machine Learning. Journal of Traffic and Transportation Engineering.
Sridhar, V., & Reddy, P. M. (2018). IoT-Based Smart Road Monitoring System Using Sensors. International Journal of Smart and Sustainable Systems.
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