Car dependency on technology has constantly grown in the modern world as traffic has increased. At the same time, highway-related fatalities and injuries from traffic accidents are on the rise, and safety concerns are a top priority. As a result, the development of Driver Assistance Systems (DAS) has emerged as a critical concern. To increase road traffic and safety, several inventions, methods, and technologies have been developed. Modern computer vision algorithms enable automobiles to grasp their surroundings with few misses. To increase road traffic and safety, several inventions, methods, and technologies have been developed. Modern computer vision algorithms enable automobiles to grasp their surroundings with few misses. A variety of Intelligent Transportation Systems (ITSs) and Vehicle Ad-Hoc Networks (VANETs) have been deployed in cities across the world. A new worldwide concept known as the Internet of Things (IoT) has recently introduced fresh ideas to update old solutions. Vehicular connection based on IoT technology would be an important step forward in intelligent mobility for the network Design (IoV). We analyze the state of the art in V2X connectivity approaches and suggest a strategy for developing the architecture of a reliable intelligent driver assistance system employing IoT communication in this study. The essay, in particular, describes the system architecture design process utilizing the IDEF modeling approach and information flow studies. The suggested method depicts a system design based on the IoT architectural reference model.


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    Title :

    Predicated on IoT, a Safe Intelligent Driver Assistance System in V2X Communication Environments


    Additional title:

    Lect. Notes in Networks, Syst.


    Contributors:

    Conference:

    International Conference on Digital Technologies and Applications ; 2023 ; Fez, Morocco January 27, 2023 - January 28, 2023



    Publication date :

    2023-04-29


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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