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. As a result, the probability of accidents is also increasing simul taneously. So, it is important to ensure safe driving on the road. In this paper, we propose an IoT-based system for providing safe driving. This system will collect data using Smartphone and show the car driver about the overall condition of the road. In this modern era, Smartphone has become available to mass people and cheap. These days about 87.5% Smartphone is running on the Android operating system. Hence, 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 algorithms using k-means clustering approach which finds the location of Speed-breaker, bump, potholes, real-time accident/blockage and accident prone area of a road. After calculating the result, it will be sent to the driver’s smart phone and shown in Google map of driver’s Smartphone. The driver will also get alerted by voice while driving. The result and the data will be stored in Cloud for further use. We have tested our proposed system through numerical as well as experimental evaluations. Simulation result shows that our approach can provide better performance compared to state-of-the-art methods.