An Integrated Fuzzy-Based Simulation System for Driver Risk Management in VANETs Considering Relative Humidity as a New Parameter

Abstract

In this paper, we present an integrated Fuzzy-based Simulation System for Driver Risk Management (FSSDRM) in Vehicular Ad hoc Networks (VANETs). FSSDRM considers the current condition of different parameters which have an impact on the driver and vehicle performance to assess the risk level. The considered parameters include vehicle’s Environment Temperature (ET), Relative Humidity (RH), Noise Level (NL), Driver’s Health Condition (DHC), Weather Condition (WC), Road Condition (RC) and Vehicle Speed (VS). FSSDRM is composed of three Fuzzy Logic Controllers (FLCs): FLC1, FLC2 and FLC3. FLC1 has the following inputs: RH, NL and ET, while WC, RC and VS are the inputs of FLC2. Both outputs of these two FLCs together with DHC, serve as input parameters for FLC3. 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 final 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.