Optimizing toll locations and levels in a road congestion pricing schemes by minimizing the deviation from marginal social cost pricing tolls
2012 (English)In: Proceedings of the 17th HKSTS International Conference, Hong Kong: Hong Kong Society for Transportation Studies (HKSTS), 2012Conference paper (Other academic)
To find second-best optimal toll locations and toll levels in a road traffic network, which maximize the social surplus, can be formulated as a bi-level optimization program. The bi-level program is both non-convex and non-smooth and therefore considered as a demanding optimization problem to solve. First-best optimal tolls can, however, easily be computed by solving a convex program, and this paper examines the possibility to make use of these first-best tolls when searching for second-best solutions. By formulating an optimization problem, which instead of maximizing the social surplus, search for the toll locations and toll levels which minimize the deviation from first-best tolls on a route-level, a mixed integer linear program is formulated. The approach of minimizing the deviation from first-best route tolls is applied to a Stockholm network model, and results are provided to evaluate the applicability of the approach.
Place, publisher, year, edition, pages
Hong Kong: Hong Kong Society for Transportation Studies (HKSTS), 2012.
, Proceedings of the 17th International Conference of Hong Kong Society for Transportation Studies, ISSN 978-988-15814-1-9
bi-level optimization, road tolls, congestion pricing
Transport Systems and Logistics
IdentifiersURN: urn:nbn:se:liu:diva-88002ISBN: 978-988-15814-1-9OAI: oai:DiVA.org:liu-88002DiVA: diva2:601075
17th International Conference Of Hong Kong Society For Transportation Studies (HKSTS), 15-17 December 2012, Hong Kong
FunderTrenOp, Transport Research Environment with Novel Perspectives