Using electronic toll collection data to understand traffic demand

Jinyoung Kim, Fumitaka Kurauchi, Nobuhiro Uno, Takeshi Hagihara, Takehiko Daito

    Research output: Contribution to journalArticlepeer-review

    20 Citations (Scopus)

    Abstract

    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. © 2014

    Original languageEnglish
    Pages (from-to)190-203
    Number of pages14
    JournalJournal of Intelligent Transportation Systems: Technology, Planning, and Operations
    Volume18
    Issue number2
    DOIs
    Publication statusPublished - 2014 Apr 3

    Keywords

    • ETC Data

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Software
    • Information Systems
    • Automotive Engineering
    • Aerospace Engineering
    • Computer Science Applications
    • Applied Mathematics

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