Mobility as a Service (MaaS) is a service that is designed to provide users with seamless mobility while also bringing about positive impacts on the economy, society, transportation, and the environment. In this study, a tourist spot is selected from a pre-determined group of destinations, and a complex domain optimization is performed using both quantitative and qualitative data. An on-demand bus route optimization system is also used, which considers the needs of the residents. The system then proposes a sightseeing route that is close to both the customer and the management, as well as a sightseeing route after the complex area optimization. This will lead to the development of a MaaS system for Level 4, which will be beneficial to all three parties involved: residents, customers, and the system management and operation side.


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    Titel :

    On Trial of Multidisciplinary Optimization to Actualized Level 4 Mobility as a Service (MaaS) Platform


    Weitere Titelangaben:

    Smart Innovation, Systems and Technologies


    Beteiligte:
    Gao, Kun (Herausgeber:in) / Bie, Yiming (Herausgeber:in) / Howlett, R. J. (Herausgeber:in) / Jain, Lakhmi C. (Herausgeber:in) / Totsuka, Aoi (Autor:in) / Obata, Kaisei (Autor:in) / Suzuki, Ryusuke (Autor:in) / Hasegawa, Hiroshi (Autor:in)

    Kongress:

    Proceedings of KES-STS International Symposium ; 2024 ; Madeira, Portugal June 19, 2024 - June 21, 2024



    Erscheinungsdatum :

    22.09.2024


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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