Surrogate-based optimization of cordon toll levels in congested traffic networks

Ekström, JoakimLinköpings universitet,Kommunikations- och transportsystem,Tekniska fakulteten (författare)

QC 20161111
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 17 000 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.

TEKNIK OCH TEKNOLOGIER Samhällsbyggnadsteknik Transportteknik och logistik hsv//swe
ENGINEERING AND TECHNOLOGY Civil Engineering Transport Systems and Logistics hsv//eng
congestion pricing charging
dynamic traffic assignment
optimal pricing
surrogate-based optimization
surrogate-models
Copyrights
Costs
Optimization
Particulate emissions
Traffic control
Travel time
Congestion pricing
Dynamic traffic assignments
Surrogate model
Traffic congestion
22 Road: Traffic control and traffic information

Kristoffersson, IdaKTH,Centrum för transportstudier, CTS,Centre for Transport Studies, KTH Royal Institute of Technology, Stockholm, Sweden(Swepub:vti)ida.kristoffersson@vti.se (författare)
Quttineh, Nils-HassanLinköpings universitet,Optimeringslära,Tekniska fakulteten(Swepub:liu)nilqu94 (författare)
Linköpings universitetKommunikations- och transportsystem (creator_code:org_t)

Ingår i:Journal of Advanced Transportation: John Wiley & Sons50:6, s. 1008-10330197-67292042-3195

Av författaren/redakt...: Ekström, Joakim; Kristoffersson, ...; Quttineh, Nils-H ...

Om ämnet

TEKNIK OCH TEKNOLOGIER: TEKNIK OCH TEKNO ...; och Samhällsbyggnads ...; och Transportteknik ...

Av lärosätet: Kungliga Tekniska Högskolan; VTI - Statens väg- och transportforskningsinstitut; Linköpings universitet

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