Efficient Road Infrastructure Management using IoT Sensor Fusion and V2V Interaction

Abstract

This paper explores the integration of Internet of Things (IoT) technologies and sensor fusion techniques into modern transportation systems to enhance efficiency, safety, and road quality assessment. The study not only emphasizes the importance of V2V communication using DSRC Dedicated Short Range Communication, Threshold Based Algorithms (TBA) and Dynamic Time Warping (DTW) but also proposes a novel approach of IoT multi-sensor fusion hardware model that is designed to identify clean and rough surface road conditions. By deploying multi sensor module into proposed model, real-time road surface data is collected and processed to classify them into flat clean or bumpy rough categories based on their smoothness index. This not only mitigate the road building infrastructure cost but also reduce the damage occur to vehicle due to poor conditions of road. The proposed study not only detect road anomalies via road surface monitoring but also tries to improvise the next generation future navigation systems for vehicles like autonomous and low ground clearance luxury vehicles. The IoT multi-sensor fusion hardware model presented here identifies road smoothness from obtained pitch orientation and road driving terrain gathered through categorical data from its sensors. The creation and deployment of an IoT road health monitoring system offers up new avenues for research into enhanced, improvised road health focused route guidance systems.