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  • EDP Sciences  (2)
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  • EDP Sciences  (2)
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  • 1
    Online Resource
    Online Resource
    EDP Sciences ; 2021
    In:  ITM Web of Conferences Vol. 36 ( 2021), p. 01011-
    In: ITM Web of Conferences, EDP Sciences, Vol. 36 ( 2021), p. 01011-
    Abstract: A better understanding of the travel time distribution shape or pattern could improve the decision made by the transport operator to estimate the travel time required for the vehicle to travel from one place to another. Finding the most appropriate distribution to represent the day-to-day travel time variation of an individual link of a bus route is the main purpose of this study. Klang Valley, Malaysia is the study area for the research. A consecutive of 7 months ten bus routes automatic vehicle location (AVL) data are used to examine the distribution performance. The leading distribution proposed for the research is the Burr distribution. Both symmetrical and asymmetrical distributions that have been proposed in existing studies are also used for comparison purposes. Maximum likelihood estimation is applied for parameter estimation while loglikelihood value, Akaike information criterion (AIC) and Bayesian information criterion (BIC) are applied for performance assessment of the distributions. Promising results are obtained by the leading model in all different kinds of operating environment and could be treated as the preliminary preparation for further reliability analysis.
    Type of Medium: Online Resource
    ISSN: 2271-2097
    Language: English
    Publisher: EDP Sciences
    Publication Date: 2021
    detail.hit.zdb_id: 2755683-9
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  • 2
    Online Resource
    Online Resource
    EDP Sciences ; 2021
    In:  ITM Web of Conferences Vol. 36 ( 2021), p. 04004-
    In: ITM Web of Conferences, EDP Sciences, Vol. 36 ( 2021), p. 04004-
    Abstract: In accordance with worldwide environmental problems and fossil oil dependency concern, green mobility with electric buses is receiving increasing attention as an essential road transport. Environmentally, electric buses emerge as a promising solution in particular to alleviate the emission and noise pollution. Nevertheless, there is no available method on how to quantify green (environmental) performance of electric buses that could provide proper guidance to the bus operators. Therefore, this study aims to construct a green index assessment and improvement framework for electric buses by capturing bus noise, emission and energy consumption level explicitly. The proposed framework, which is capable of quantifying the green level of electric bus operations, plays a vital role in improving the green performance of bus operating system, by considering numerous operational aspects. In order to examine the applicability of the proposed approach, an illustrative case study, focusing on the electric bus operations of Putrajaya (Malaysia), is analyzed accordingly. The resultant findings show that the green performance of electric buses would be different at varying degrees, depending on various inter-correlated factors. It is anticipated that this study may reveal some beneficial insights for the bus operators to operate environmental-friendly electric buses feasibly.
    Type of Medium: Online Resource
    ISSN: 2271-2097
    Language: English
    Publisher: EDP Sciences
    Publication Date: 2021
    detail.hit.zdb_id: 2755683-9
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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