Studying the dynamic reliability of urban public transport travel can accurately describe the dynamics, randomness, temporal and spatial characteristics, and supply demand relationship of the public transport network, which has important practical significance for improving the planning and management of the public transport system and guiding passengers to travel. Although the research on reliability started earlier, there is no unified standard in reliability calculation. In addition, the study of travel time reliability generally assumes normal distribution, which reduces the computational accuracy and model applicability of travel time reliability. Therefore, this paper first proposes a set of methods to extract OD travel time in the APTS data environment, and then selects five distribution models with different forms to carry out probability distribution fitting of travel time. Finally, based on the dynamic reliability analysis of OD pair, a set of reliability analysis indexes is proposed to analyze the temporal and spatial characteristics of OD travel time.


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    Titel :

    Reliability analysis of dynamic travel time of public transport based on Advanced Public Transportation System data


    Beteiligte:
    Chen, Jun (Autor:in) / Wang, Chun (Autor:in) / Wei, Gaoqiang (Autor:in) / Li, Xiaowei (Autor:in)

    Kongress:

    International Conference on Smart Transportation and City Engineering 2021 ; 2021 ; Chongqing,China


    Erschienen in:

    Proc. SPIE ; 12050


    Erscheinungsdatum :

    2021-11-10





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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