This paper introduces a practical methodology that utilizes predictive analytics to determine the necessary reserve fleet in transport business units within the Mexico City BRT system. The aim is to ensure the availability of buses to meet operational schedules, all while maintaining operational efficiency. The research emphasizes the need for an additional fleet to handle preventive and corrective maintenance and regulatory inspections mandated by transportation authorities. A comprehensive formula calculates the percentage of the fleet required as a technical reserve, safeguarding the company's operational efficiency. The methodology is illustrated through a case study involving five companies, demonstrating its effectiveness in bus fleet planning and management. This research contributes to resource optimization in the public transport sector, offering a robust and adaptable tool for fleet management. This study's comprehensive analysis and practical application provide a robust framework for other public transport entities seeking to enhance their fleet management practices.


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    Titel :

    Predictive Analytics for Fleet Reserve Estimation


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Nagar, Atulya (Herausgeber:in) / Jat, Dharm Singh (Herausgeber:in) / Mishra, Durgesh (Herausgeber:in) / Joshi, Amit (Herausgeber:in) / Díaz-Torres, Laura Alma (Autor:in) / Hernandez-Godoy, Juan Marco Antonio (Autor:in) / Antolínez, Mario Leonardo Nieto (Autor:in)

    Kongress:

    International conference on WorldS4 ; 2024 ; London, United Kingdom July 23, 2024 - July 26, 2024



    Erscheinungsdatum :

    18.03.2025


    Format / Umfang :

    15 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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