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Surrogate-based optimization of cordon toll levels in congested traffic networks
Linköping Universitet.
Linköping Universitet.
2016 (engelsk)Inngår i: Journal of Advanced Transportation, ISSN 0197-6729, E-ISSN 2042-3195, Vol. 50, nr 6, s. 1008-1033Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The benefit, in terms of social surplus, from introducing congestion charging schemes in urban networks is depending on the design of the charging scheme. The literature on optimal design of congestion pricing schemes is to a large extent based on static traffic assignment, which is known for its deficiency in correctly predict travel times 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 (because of the computational time), are 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 surrogate-based optimization method. Final evaluation is performed with the dynamic traffic assignment tool VisumDUE, coupled with the demand model Regent, for a Stockholm network including 1240 demand zones and 17000 links. Our results show that the surrogate-based optimization method can indeed be used for designing a congestion charging scheme, which return a high social surplus.

sted, utgiver, år, opplag, sider
2016. Vol. 50, nr 6, s. 1008-1033
Emneord [en]
Congestion charging, Traffic assignment, Mathematical model, Optimization
HSV kategori
Forskningsprogram
20 Road: Traffic engineering, 22 Road: Traffic control and traffic information
Identifikatorer
URN: urn:nbn:se:vti:diva-12545DOI: 10.1002/atr.1386ISI: 000386040200005Scopus ID: 2-s2.0-84989884630OAI: oai:DiVA.org:vti-12545DiVA, id: diva2:1161204
Tilgjengelig fra: 2017-11-29 Laget: 2017-11-29 Sist oppdatert: 2018-05-18bibliografisk kontrollert

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