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      Determination of the Reliability of Urban Electric Transport Running Autonomously through Diagnostic Parameters

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          Abstract

          The urban transport network involves complex processes, operating 24 h a day and 365 days a year. The sustainable development of the urban transport network using electric buses and trolleybuses that run autonomously is an urgent task since the transport network performs integral social functions and is the transport artery of any urban center. The social and economic life of a city as a whole depends on the reliability of the transportation network. A theory is proposed for the technical and economic evaluation of reliability improvement in electric buses and trolleybuses running autonomously, which enables the determination of the reliability parameters of electric buses and forecasts for the future from the point of view of optimal economic costs for the operation of electric equipment in electric buses. As a result of the application of the proposed theory, it was found that increasing the reliability of the transportation fleet can lead to a decrease in both specific operating costs and capital investments in the development of the fleet. This is achieved as a result of increasing the annual productivity of vehicles by reducing the time they are out of service to eliminate the consequences of failures and carry out maintenance and repair. The conducted experiments confirmed that the theory and methodology of optimal reliability level selection not only enable the rational use of the material resources of the urban transport network but also the release of funds for its scientific and technical development by reducing the number of failures in the electrical equipment of transport systems by 14%.

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          Most cited references45

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          Reliability Evaluation of Power Systems

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            The transport sector as a source of air pollution

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              Sustainability analysis of the electric vehicle use in Europe for CO2 emissions reduction

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                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                WEVJAU
                World Electric Vehicle Journal
                WEVJ
                MDPI AG
                2032-6653
                December 2023
                December 01 2023
                : 14
                : 12
                : 334
                Article
                10.3390/wevj14120334
                fd9492c3-0946-4d40-bb55-e160d0b6e548
                © 2023

                https://creativecommons.org/licenses/by/4.0/

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