In Vehicular Ad hoc Networks (VANETs) and Internet of Vehicles (IoV), stress and frustration while driving can negatively impact safe driving. Thus, managing driver stress levels is crucial for improving route safety. In this work, we introduce an intelligent system based on Fuzzy Logic (FL) to evaluate safe driving level in a VANETs. For the implementation of proposed system we consider four parameters: Driver Anxiety Level (DAL), Driver Mental Status (DMS), Driver Skill (DS) and Influence of External Environment (IEE) to decide Safe Driving Evaluation Level (SDEL). We carried out many simulations to evaluate the performance of proposed system. The simulations results show that SDEL increases when all parameter values (DS, IEE, CAL, and DMS) are increased.