Flotterod, G and Liu, R (2014) Disaggregate path flow estimation in an iterated DTA microsimulation. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 18 (2). 204 - 214. ISSN 1547-2450
Abstract
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 on an activity-based demand model (Flötteröd et al., 2011a). 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.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | (c) 2014, Taylor and Francis Group, LLC. This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Intelligent Transportation Systems: Technology, Planning, and Operations on 15 May 2014, available online: http://dx.doi.org//10.1080/15472450.2013.806854 |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 13 Aug 2015 15:10 |
Last Modified: | 19 Jan 2018 18:21 |
Published Version: | http://dx.doi.org/10.1080/15472450.2013.806854 |
Status: | Published |
Publisher: | Taylor and Francis |
Identification Number: | 10.1080/15472450.2013.806854 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:85162 |