In this study, we explored the potential of using electronic toll collection (ETC)-derived data that are a part of intelligent transport systems (ITS). Dynamic origin–destination (OD) traffic volumes were estimated using ETC data on the Hanshin Expressway. A dynamic OD estimation model that was suggested in a previous study was used, and abundant ETC data were input to improve the estimation accuracy. The results of OD estimation were analyzed to understand traffic demand and its variation. External factors were clarified that have an influence on variances in the OD flows, and statistical analysis methods for the variations were proposed depending on the factors. Moreover, the improvements in traffic simulation accuracy and performance as a result of using ETC data as input variables in the simulation models were discussed. According to the results of this study, ETC data have potential to assist in understaningd traffic demand and its variation, and the results can be applied to network management.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Using Electronic Toll Collection Data to Understand Traffic Demand


    Beteiligte:
    Kim, JinYoung (Autor:in) / Kurauchi, Fumitaka (Autor:in) / Uno, Nobuhiro (Autor:in) / Hagihara, Takeshi (Autor:in) / Daito, Takehiko (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    03.04.2014


    Format / Umfang :

    0 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Electronic toll collection and traffic management technologies

    Davis,D.B. / Amtech,US | Kraftfahrwesen | 1992


    Electronic toll collection

    Hensher, David A. | Elsevier | 1989


    Modeling traffic operations at electronic toll collection and traffic management systems

    Zarrillo, M.L. / Radwan, A.E. / Al-Deek, H.M. | Tema Archiv | 1997


    Toll Trajectory Repair Method Based on Electronic Toll Collection Data

    Su, YiHeng / Liao, LvChao / Zou, FuMin | IEEE | 2023