Energy consumption is critical in self-driving cars and is set to change how transportation works. In this paper, we address the challenges of vehicle energy consumption by examining how the location of self-driving cars affects their energy use over time, looking at two-and three-dimensional aspects. Using models and real-world data, we examine the energy usage patterns of vehicle systems within MATLAB to reveal insights into their design and operation. In this paper, the power dynamics of cars that significantly contribute to the discussions of practical and sustainable self-driving transportation are introduced. The main goal is to demonstrate how power management may be revolutionized for self-driving car systems, ensuring maximum performance and dependability in today’s dynamic mobility scene. The findings show that enhancing autonomous vehicles’ design and operational strategies ensures their reliability and optimizes performance in today’s rapidly evolving transportation landscape.


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    Titel :

    Navigating Energy: Unveiling Power Consumption Patterns in Autonomous Vehicles


    Beteiligte:
    Saif, Abdu (Autor:in) / Mohd Shah, Nor Shahida (Autor:in) / Ameen, Ali (Autor:in) / Alnoamani, Aiman (Autor:in) / Al-Qatf, Majjed (Autor:in) / Alsamhi, Saeed Hamood (Autor:in)


    Erscheinungsdatum :

    25.11.2024


    Format / Umfang :

    472711 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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