The paper develops procedures for calibrating the steady-state component of various car following models using macroscopic loop detector data. The calibration procedures are developed for a number of commercially available microscopic traffic simulation software, including: CORSIM, AIMSUN2, VISSIM, Paramics, and INTEGRATION. The procedures are then applied to a sample dataset for illustration purposes. The paper then compares the various steady-state car-following formulations and concludes that the Gipps and Van Aerde steady-state car following models provide the highest level of flexibility in capturing different driver and roadway characteristics. However, the Van Aerde model, unlike the Gipps model, is a single-regime model and thus is easier to calibrate given that it does not require the segmentation of data into two regimes. The paper finally proposes that the car-following parameters within traffic simulation software be link-specific as opposed to the current practice of coding network-wide parameters. The use of link-specific parameters will offer the opportunity to capture unique roadway characteristics and reflect roadway capacity differences across different roadways.


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    Titel :

    Calibration of Steady-State Car-Following Models using Macroscopic Loop Detector Data


    Beteiligte:
    H. Rakha (Autor:in) / Y. Gao (Autor:in)

    Erscheinungsdatum :

    2010


    Format / Umfang :

    21 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




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