An integrated fuzzy-based simulation system for driving risk management in VANETs considering road condition as a new parameter

Abstract

In this paper, we propose a new Fuzzy-based Simulation System for Driver Risk Management in Vehicular Ad hoc Networks (VANETs). The proposed system considers Driver’s Health Condition (DHC), Vehicle’s Environment Condition (VEC), Weather Condition (WC), Road Condition (RC) and Vehicle Speed (VS) to assess the risk level. The proposed system is composed of two Fuzzy Logic Controllers (FLCs): FLC1 and FLC2. FLC1 has the following inputs: WC, RC and VS and its output, together with VEC and DHC, serve as input parameters for FLC2. The input parameters’ data can come from different sources, such as on-board and on-road sensors and cameras, sensors and cameras in the infrastructure and from the communications between the vehicles. Based on the system’s output i.e., driving risk level, a smart box informs the driver for a potential risk/danger and provides assistance. We show through simulations the effect of the considered parameters on the determination of the driving risk and demonstrate a few actions that can be performed accordingly.