Disaggregate Path Flow Estimation in an Iterated Dynamic Traffic Assignment Microsimulation
2014 (English)In: Journal of Intelligent Transportation Systems / Taylor & Francis, ISSN 1547-2450, Vol. 18, no 2, 204-214 p.Article in journal (Refereed) Published
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 (Flotterod, 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.
Place, publisher, year, edition, pages
2014. Vol. 18, no 2, 204-214 p.
Origin-Destination Matrices, Generalized Least-Squares, Trip Matrices, Programming Approach, Congested Networks, Link Volumes, Counts, Tables, Scale, Demand
Transport Systems and Logistics
IdentifiersURN: urn:nbn:se:kth:diva-147059DOI: 10.1080/15472450.2013.806854ISI: 000335942500008ScopusID: 2-s2.0-84901038680OAI: oai:DiVA.org:kth-147059DiVA: diva2:728916
QC 201406252014-06-252014-06-232014-06-25Bibliographically approved