This article describes the first application of a novel path flow and origin/destination (OD) matrix estimator for iterated dynamic traffic assignment (DTA) microsimulations. The presented approach, which operates on a trip-based demand representation, is derived from an agent-based DTA calibration methodology that relies on an activity-based demand model (Flötteröd, Bierlaire, & Nagel, 2011). The objective of this work is to demonstrate the transferability of the agent-based approach to the more widely used OD matrix-based demand representation. The calibration (i) operates at the same disaggregate level as the microsimulation and (ii) has drastic computational advantages over conventional OD matrix estimators in that the demand adjustments are conducted within the iterative loop of the DTA microsimulation, which results in a running time of the calibration that is in the same order of magnitude as a plain simulation. We describe an application of this methodology to the trip-based DRACULA microsimulation and present an illustrative example that clarifies its capabilities.


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    Title :

    Disaggregate Path Flow Estimation in an Iterated Dynamic Traffic Assignment Microsimulation


    Contributors:

    Published in:

    Publication date :

    2014-04-03


    Size :

    11 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Microsimulation-based procedures for dynamic network traffic assignment

    Mahmassani, H. S. / Hu, T.-Y. / Peeta, S. et al. | British Library Conference Proceedings | 1994



    DRACULA: Dynamic Route Assignment Combining User Learning and microsimulAtion

    Liu, R. / Van Vliet, D. / Watling, D. et al. | British Library Conference Proceedings | 1995


    Event-Driven Queue-Based Traffic Flow Microsimulation

    Charypar, David / Axhausen, Kay W. / Nagel, Kai | Transportation Research Record | 2007