Deduction of Road Condition Defects Using Multiple Sensor and IoT Technology
DOI:
https://doi.org/10.15662/IJEETR.2026.0802263Keywords:
road defect detection, Internet of things (IoT), real time data monitoring, Multiple sensors, Embedded, systemAbstract
Road infrastructure plays a vital role in ensuring safe and efficient transportation systems. However, poor road conditions such as potholes, cracks, bumps, and uneven surfaces are common problems in many urban and rural areas. These defects can cause vehicle damage, increase fuel consumption, create traffic congestion, and even lead to serious road accidents. Traditional road inspection methods mainly rely on manual surveys and periodic inspections carried out by maintenance personnel. These methods are often time-consuming, expensive, and inefficient in detecting road damages promptly. Therefore, there is a need for an automated and real-time road monitoring system that can continuously detect and report road defects.
This project proposes a Smart Road Condition Monitoring System using IoT technology to automatically detect road surface irregularities and transmit the collected data to a remote monitoring platform. The system is designed using an Arduino Uno microcontroller, which serves as the central processing unit for collecting and analyzing data from multiple sensors. The sensing unit consists of an ultrasonic sensor, an accelerometer sensor, and a vibration sensor, each responsible for detecting different types of road anomalies.
The ultrasonic sensor is used to measure the distance between the sensor and the road surface. This helps in identifying potholes and depressions by detecting sudden changes in surface depth
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