Change search
ReferencesLink to record
Permanent link

Direct link
Bayesian demand calibration for dynamic traffic simulations
École Polytechnique Fédérale de Lausanne (EFPL), School of Architecture, Civil and Environmental Engineering (ENAC), Lausanne, Switzerland.
2011 (English)In: Transportation Science, ISSN 0041-1655, Vol. 45, no 4, 541-561 p.Article in journal (Refereed) Published
Abstract [en]

We present an operational framework for the calibration of demand models for dynamic traffic simulations, where calibration refers to the estimation of a structurally predefined model's parameters from real data. Our focus is on disaggregate simulators that represent every traveler individually. We calibrate, also at an individual level, arbitrary choice dimensions within a Bayesian framework, where the analyst's prior knowledge is represented by the dynamic traffic simulator itself and the measurements are comprised of time-dependent traffic counts. The approach is equally applicable to an equilibrium-based planning model and to a telematics model of spontaneous and imperfectly informed drivers. It is based on consistent mathematical arguments, yet it is applicable in a purely simulation-based environment and, as our experimental results show, is capable of handling large scenarios.

Place, publisher, year, edition, pages
2011. Vol. 45, no 4, 541-561 p.
Keyword [en]
disaggregate demand calibration, dynamic traffic assignment, microsimulation, path flow estimation, Bayesian estimation
National Category
Transport Systems and Logistics
URN: urn:nbn:se:kth:diva-76743DOI: 10.1287/trsc.1100.0367ISI: 000297208700006OAI: diva2:491116
TrenOp, Transport Research Environment with Novel Perspectives
TSC import 811 2012-02-06. QC 20120207Available from: 2012-02-06 Created: 2012-02-06 Last updated: 2012-06-12Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Flötteröd, Gunnar
In the same journal
Transportation Science
Transport Systems and Logistics

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 32 hits
ReferencesLink to record
Permanent link

Direct link