liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Surrogate-based optimization of cordon toll levels in congested traffic networks
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-1367-6793
Centre for Transport Studies, KTH Royal Institute of Technology, Stockholm, Sweden.
Linköping University, Department of Mathematics, Optimization . Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-9881-4170
2016 (English)In: Journal of Advanced Transportation, ISSN 0197-6729, E-ISSN 2042-3195, Vol. 50, no 6, 1008-1033 p.Article in journal (Refereed) Published
Abstract [en]

The benefits, in terms of social surplus, from introducing congestion pricing schemes in urban networks are depending on the design of the pricing scheme. The major part of the literature on optimal design of congestion pricing schemes is based on static traffic assignment, which is known for its deficiency in correctly predict travels in networks with severe congestion. Dynamic traffic assignment can better predict travel times in a road network, but are more computational expensive. Thus, previously developed methods for the static case cannot be applied straightforward. Surrogate-based optimization is commonly used for optimization problems with expensive-to-evaluate objective functions. In this paper we evaluate the performance of a surrogate-based optimization method, when the number of pricing schemes which we can afford to evaluate (due to the computational time) is limited to between 20 and 40. A static traffic assignment model of Stockholm is used for evaluating a large number of different configurations of the surrogatebased optimization method. Final evaluation is done with the dynamic traffic assignment tool VisumDUE, coupled with the demand model Regent, for a Stockholm network including 1 240 demand zones and 17 000 links. Our results show that the surrogate-based optimization method can indeed be used for designing a congestion pricing scheme which return a high social surplus.

Place, publisher, year, edition, pages
Wiley-Blackwell, 2016. Vol. 50, no 6, 1008-1033 p.
National Category
Transport Systems and Logistics
URN: urn:nbn:se:liu:diva-126894DOI: 10.1002/atr.1386OAI: diva2:917464
Available from: 2016-04-06 Created: 2016-04-06 Last updated: 2016-10-07Bibliographically approved

Open Access in DiVA

fulltext(444 kB)50 downloads
File information
File name FULLTEXT01.pdfFile size 444 kBChecksum SHA-512
Type fulltextMimetype application/pdf
The full text will be freely available from 2017-05-12 15:28
Available from 2017-05-12 15:28

Other links

Publisher's full text

Search in DiVA

By author/editor
Ekström, JoakimQuttineh, Nils-Hassan
By organisation
Communications and Transport SystemsFaculty of Science & EngineeringOptimization
In the same journal
Journal of Advanced Transportation
Transport Systems and Logistics

Search outside of DiVA

GoogleGoogle Scholar
Total: 50 downloads
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: 558 hits
ReferencesLink to record
Permanent link

Direct link