Architectural Framework For Decision Support for Connectivity and Mobility on Roads and Vehicles Using Fuzzy Logic and Neural Networks

Abstract:

This paper presents an architectural framework presenting a model for a safe driving environment, more efficient transport operations, lower environmental impacts and increased road safety for the driver, the vehicle in motion, and other objects near the vehicle such as pedestrians, vehicles, and property. The model utilizes a highly sophisticated neuro-fuzzy system to detect human status, which is connected to different control systems in vehicle, and in the road, these are connected with a cloud computing mechanism in order to save all the data related to drivers, vehicles, road conditions, and any up normal condition.