Disaggregate path flow estimation in an iterated DTA microsimulation
2010 (English)Report (Other academic)
This text 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 onan activity-based demand model. The objective of this work is to demonstrate thetransferability of the agent-based approach to the more widely used OD matrixbaseddemand representation.The calibration (i) operates at the same disaggregate level as the microsimulationand (ii) has drastic computational advantages over usual OD matrix estimators inthat the demand adjustments are conducted within the iterative loop of the DTAmicrosimulation, which results in a running time of the calibration that is in thesame order of magnitude as a plain simulation. We describe an application ofthis methodology to the trip-based DRACULA microsimulation and present anillustrative example that clarifies its capabilities.
Place, publisher, year, edition, pages
2010. , 19 p.
Transport Systems and Logistics
IdentifiersURN: urn:nbn:se:kth:diva-76850OAI: oai:DiVA.org:kth-76850DiVA: diva2:491223
TSC import 1009 2012-02-06. QC 201204242012-02-062012-02-062012-04-24Bibliographically approved