A Fuzzy-Based System for Safe Driving Information in VANETs

Abstract

Ambient intelligence (AmI) deals with a new world of ubiquitous computing devices, where physical environments interact intelligently and unobtrusively with people. AmI environments can be diverse, such as homes, offices, meeting rooms, schools, hospitals, control centers, vehicles, tourist attractions, stores, sports facilities, and music devices. In this paper, we propose a Fuzzy-based system for safe driving information in VANETs. 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 change his mood. We want to realize a new system to support the driver for save driving. We evaluated the performance of proposed system by computer simulations. From the simulations results, we conclude that the driver vital information, vehicle mobility information and car environment information have different effects to the driver.