Abstract
Vehicular Ad hoc Networks (VANETs) have gained 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 VANETs to accomplish one of its main goals, the road safety. In this paper, we propose an intelligent Fuzzy-based System for Driving Risk Management (FSDRM) in VANETs. The FSDRM considers driver’s vital signs data such as the driver’s heart and respiratory rate, vehicle speed and vehicle’s inside temperature to assess the risk level. Then, it uses the smart box to inform the driver and to provide better assistance. We aim to realize a new system to support the driver for safe driving. We evaluated the performance of the proposed system by computer simulations and experiments. From the evaluation results, we conclude that driver’s heart and respiratory rate, vehicle speed, and vehicle’s inside temperature have different effects on the assessment of risk level.
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