Estimation of preferred departure times and changes in departure time patterns

Raoul Teekamp, Erwin M. Bezembinder, Dirk H. van Amelsfort, Eric C. van Berkum

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Abstract

    To take account of dynamics in departure times after changes in network conditions, the preferred times of travel play a key-role. Knowledge of these time is needed to calculate any possible utility or disutility a travel maker perceives by changing his departure time. The preferred times of travel are, however, time and cost consuming to obtain. The method, proposed in this paper, reveals the preferred travel times, using a Reverse Engineering of the data. Having obtained the preferred departure profile, the method then forecasts the future demand profile in an iterative loop with an assignment model. Both an analytical and a practical algorithm for Reverse Engineering are provided. The method is illustrated for a hypothetical case with a single origin-destination pair
    Original languageEnglish
    Title of host publicationProceedings of the 81st Transportation Research Board (TRB) Annual Meeting 2002
    Place of PublicationWashington, DC
    PublisherTransportation Research Board (TRB)
    Number of pages23
    Publication statusPublished - 13 Jan 2002
    Event81st Transportation Research Board (TRB) Annual Meeting 2002 - Washington, United States
    Duration: 13 Jan 200217 Jan 2002
    Conference number: 81

    Conference

    Conference81st Transportation Research Board (TRB) Annual Meeting 2002
    CountryUnited States
    CityWashington
    Period13/01/0217/01/02

    Keywords

    • METIS-210492

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