Implementation of a Fuzzy-Based Simulation System and a Testbed for Improving Driving Conditions in VANETs

Abstract

Vehicular Ad Hoc Networks (VANETs) have gained a great attention due to the rapid development of mobile internet and Internet of Things (IoT) applications. With the evolution of technology, it is expected that VANETs will be massively deployed in upcoming vehicles. In addition, ambitious efforts are being done to incorporate Ambient Intelligence (AmI) technology in the vehicles, as it will be an important factor for VANET to accomplish one of its main goals, the road safety. In this paper, we propose an intelligent system for improving driving condition using fuzzy logic. The proposed system considers in-car environment data and driver’s vital signs data to make the decision. Then uses the smart-box to inform the driver and to provide a better assistance. We aim to realize a new system to support the driver for safe driving. We evaluated the performance of proposed system by computer simulations and experiments. From the evaluation results, we conclude that the driver’s heart rate, noise level and vehicle’s inside temperature have different effects to the driver’s condition.