Abstract The development and initial validation results of a micro-simulator for the generation of daily activity-travel patterns are presented in this paper. The simulator assumes a sequential history and time-of-day dependent structure. Its components are developed based on a decomposition of a daily activity-travel pattern into components to which certain aspects of observed activity-travel behavior correspond, thus establishing a link between mathematical models and observational data. Each of the model components is relatively simple and is estimated using commonly adopted estimation methods and existing data sets. A computer code has been developed and daily travel patterns have been generated by Monte Carlo simulation. Study results show that individuals' daily travel patterns can be synthesized in a practical manner by micro-simulation. Results of validation analyses suggest that properly representing rigidities in daily schedules is important in simulating daily travel patterns.


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    Titel :

    Micro-simulation of daily activity-travel patterns for travel demand forecasting


    Beteiligte:
    Kitamura, Ryuichi (Autor:in) / Chen, Cynthia (Autor:in) / Pendyala, Ram M. (Autor:in) / Narayanan, Ravi (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2000




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch



    Klassifikation :

    BKL:    55.80 Verkehrswesen, Transportwesen: Allgemeines / 74.75 Verkehrsplanung, Verkehrspolitik
    Lokalklassifikation TIB:    535/7000



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