Vehicular Fog Computing Based Traffic Information Delivery System to Support Connected Self-driving Vehicles in Intersection Environment

Abstract

Recently, edge and fog computing server based various researches related on smart traffic control system have been studied to support enhanced traffic control service performance. In particular, fog computing server based novel ITS, such as vehicular fog computing, is being developed for traffic application of vehicle networks. Vehicles, regarded as smart devices with mobile, have the computational capability to collect useful traffic information about traffic state and road condition. Thus, in vehicular networks enabled to vehicular fog computing, through smart vehicular, fog server performing computing can be deployed at the edge of vehicular networks to collect, store, and compute traffic data related on vehicle state, road condition and traffic state. Here, vehicular fog computing server can provide a vehicle services to connected self-driving vehicle with the providing driving information, smart traffic control and road safety improvement. we propose a vehicle fog computing-based traffic information delivery system that can be used to deliver real-time and urgent-sensitive data, such as traffic data related on vehicle accident, in an intersection environment. The proposed system model is the functional architecture of traffic information delivery system based on vehicular fog computing server.