IoT Based Humps and Pothole Detection on Roads and Information Sharing

Abstract

One of the ways to reduce road accident is to identify the humps and potholes present in the path. In this paper, an internet of things based road monitoring system (IoT-RMS) is proposed to identify the potholes and humps in the road. The pathway which is affected by the pothole is greatly influenced by the scattering signal of the ultrasonic sensor. So the magnitude of the reflected signal decreased due to the roughness of the surface and the signal amplitude is difficult to analyze. The Kirchofft's theory basically applied for real-time analysis and it has certain limitations. To overcome this difficulty, an accelerometer has been included with the ultrasonic sensor to measure variation present in the signal and optimized using honey bee optimization (HBO) technique. The IoT-RMS automatically updates the status of the road with location information in the cloud. Each road vehicles can access the information from the server and estimate the speed according to the potholes and humps present on the road. The simulation has been done and the result shows that the IoT-RMS can be accommodated in road vehicles to reduce the accidents. The proposed system is implemented and tested using Arduino Uno with ESP 8266.