Evolutionary game-theoretic model for dynamic congestion pricing in multi-class traffic networks |
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Authors: | Loukas Dimitriou Theodore Tsekeris |
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Institution: | (1) Department of Transportation Planning and Engineering, School of Civil Engineering, National Technical University of Athens, 157 73 Zografou, Athens, Greece;(2) Centre for Planning and Economic Research (KEPE), 11 Amerikis, 106 72 Athens, Greece |
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Abstract: | This paper describes an evolutionary game-theoretic learning model for dynamic congestion pricing in urban road networks,
taking into account route choice stochasticity and reliability considerations, and the heterogeneity of users, in terms of
their value of travel time and real-time information acquisition. The learning model represents the dynamic adjustments of
users to travel cost changes which may take place in the day-to-day as well as the within-day timescales. The implementation
into a simplified and a real urban road network signifies the important implications of modeling the dynamic and stochastic
learning components of users’ behavior for accommodating the efficient deployment of congestion pricing schemes. |
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Keywords: | Dynamic congestion pricing Evolutionary game theory Stochastic assignment models Routing information Urban road networks |
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