Micromobility provides a key to the design and implementation of sustainable solutions through enhancements in safety and resource utilization efficiency. Various smart applications, safety-related and information services can only be provided through a comprehensive vehicle-to-infrastructure (V2I) network and a vehicular cloud integrated solution. Micromobility exhibits tremendous potential in the unique smart city environment, where access to public transport services is often a concern. Scalable and customizable solutions to concentrate commuters for easy access to public transport hubs will be an important objective for enhancing efficiency in both energy consumption and travel within a smart city. This paper proposes a prognostics approach for sustainable micromobility management through optimization of appropriate V2I and V2V communication systems by using artificial intelligence for adaptive modulation and self-cognizant prognostics in order to solve the challenges associated with tackling parking and road congestion issues in a sustainable smart city environment.


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    Titel :

    Sustainable Micromobility Management in Smart Cities


    Beteiligte:
    Fong, Bernard (Autor:in) / Fong, Alvis C. M. (Autor:in) / Hong, Guan Y. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.12.2023


    Format / Umfang :

    4955215 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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