An intelligent smartphone based approach using IoT for ensuring safe driving

Abstract

Road accident is a widespread problem all over the world. The number of the vehicle is increasing rapidly. Therefore, the probability of an accident is also increasing. So in this paper, we propose an IoT-based system for providing safe driving. It will collect data using smartphone and show the driver about the condition of the road. We have developed an Android based application which will collect data from a vehicle and send it to its nearest IoT-Fog server for processing the data quickly. We also developed two algorithms using k-means clustering approach which find the location of road anomalies and accident prone area. The result will be shown in Google map of driver's smartphone. This information will be stored in cloud for further use. We have tested our proposed system through statistical as well as experimental evaluations. Simulation result shows that our approach can provide better performance compared to state-of-the-art methods.