This paper presents a short-term forecasting approach on transit route OD (Origin-Destination) matrix using smart card data of buses. Temporal characteristics of stop-level boardings/alightings and route-level number of passengers are analyzed. A three-step methodology that provides short-term forecasts of transit route OD matrices is proposed. The proposed method is applied to bus route 966 in Beijing as a case study. The forecasted results are compared with the observed data. The proposed short-term forecasting approach has a mean absolute percentage error no more than 13.05% or lower and a maximum absolute error no more than 17 suggesting the usefulness of the proposed method to support the deployment of dynamic urban transportation management systems.


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    Titel :

    Short-term forecasting of transit route OD matrix with smart card data


    Beteiligte:
    Xumei Chen, (Autor:in) / Shuxia Guo, (Autor:in) / Lei Yu, (Autor:in) / Hellinga, B. (Autor:in)


    Erscheinungsdatum :

    01.10.2011


    Format / Umfang :

    436414 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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