Joint pricing and design of urban highways with spatial and user group heterogeneity

Authors:
Loukas Dimitriou;Theodore Tsekeris;Antony Stathopoulos
Affiliations:
Department of Transportation Planning and Engineering, School of Civil Engineering, National Technical University of Athens, Athens, Greece 15773;Centre for Planning and Economic Research (KEPE), Athens, Greece 10672;Department of Transportation Planning and Engineering, School of Civil Engineering, National Technical University of Athens, Athens, Greece 15773
Venue:
Netnomics
Year:
2009

Citing 3
Cited 2

Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Evolutionary Combinatorial Programming for Discrete Road Network Design with Reliability Requirements

Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
Genetic computation of road network design and pricing Stackelberg games with multi-class users

Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing

Quantified Score

Hi-index	0.01

Visualization

Abstract

This paper addresses the joint optimization of capacity investments and toll charges imposed on multi-group users in monopolistic private highways within general road networks. A game-theoretic formulation is provided that leads to a nonconvex bilevel program. The proposed modeling framework handles several complex issues raised in realistic applications, such as regulations on the levels of tolls and service, and the discrete nature of highway capacity, using a genetic optimization technique. Real-application results show the importance of considering the spatial heterogeneity of prices, and the tradeoff between investments and pricing strategies in regulated private highways.