Acknowledging the critical role of human factors in vehicular safety, our research addresses the existing gap in understanding and quantifying these factors in Vehicular Ad Hoc Networks (VANETs) domain. This paper explores the application of Fuzzy Logic (FL) in the context of VANETs, focusing on the assessment of driver performance. The three input parameters (driver experience, driver skills and mental and physical condition of the driver) are employed to determine the performance error of drivers. We present a methodological framework that leverages FL to model and analyze the intricate relationships between the specified input parameters and the resultant performance errors. Our findings not only provide valuable insights into the nuanced dynamics of driver behavior in VANETs but also contribute to enhancing the overall safety and efficiency of vehicular communication systems. This work underscores the significance of incorporating human-centric considerations in the design and optimization of intelligent transportation systems, paving the way for advancements in the field.


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    Titel :

    A Fuzzy-Based System for Assessment of Performance Error in VANETs


    Weitere Titelangaben:

    Lect. Notes on Data Eng. and Comms.Technol.


    Beteiligte:
    Barolli, Leonard (Herausgeber:in) / Qafzezi, Ermioni (Autor:in) / Bylykbashi, Kevin (Autor:in) / Higashi, Shunya (Autor:in) / Ampririt, Phudit (Autor:in) / Matsuo, Keita (Autor:in) / Barolli, Leonard (Autor:in)

    Kongress:

    International Conference on Advanced Information Networking and Applications ; 2024 ; Kitakyushu, Japan April 17, 2024 - April 19, 2024



    Erscheinungsdatum :

    10.04.2024


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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