CASA: Safe and Green Driving Assistance System for Real-Time Driving Events

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CASA: Safe and Green Driving Assistance System for Real-Time Driving Events

Hina, Manolo Dulva / Guan, Hongyu / Deng, Nan / Ramdane-Cherif, Amar

Abstract The goal of Project CASA (Car Safety Apps) is to build an Android app, as an alternative to the traditional ADAS (Advanced Driving Assistance System), to promote secured and environmental-friendly driving. Our team is a composed of industrial and educational entities in France. In this paper, an innovative way of capturing real-time signals, combining them to determine the current driving situation, associate the required action and generate the corresponding message towards the driver and the vehicle will be presented. Every message is suitable to the real-time driving context and event. The novelties of this work are: (i) given the actual driving context, generate message to notify of incoming traffic event and inform of the danger present when driver incurs traffic rule infraction. Such messages are intended to promote secured and environmental-friendly driving, (ii) dynamic and real-time consideration of driver status, vehicle status, and of the environment (iii) providing priority level to traffic messages based on the danger involved in the scenario.