Vehicle Accident Prediction Model for Smart Cities Using Edge Computing

Development of Edge Computing and Internet of Things (IoT) leads to get the great benefits of smart cities. Increasing number of vehicles has brought focus on cars and passengers safety and city to vehicle (c2v) communication. This paper focuses on proposing a model for earlier prediction of vehicular possible hazards. The proposed system uses smart city infrastructure such as sensors and high resolution cameras to capture any possible incident and analyze these data for any possible accidents. Any hazard occurrence leads to send a voice alert to the car driver (owner) telling to perform some steps that avoid him many real accident and save his and others life.