Nash Game Based Distributed Control Design for Balancing of Traffic Density over Freeway Networks

Dominik Pisarski 1 Carlos Canudas de Wit 1
1 NECS - Networked Controlled Systems
Inria Grenoble - Rhône-Alpes, GIPSA-DA - Département Automatique
Abstract : In this paper, we study the problem of optimal balancing of vehicle density in the freeway traffic. The optimization is performed in a distributed manner by utilizing the controllability properties of the freeway network represented by the Cell Transmission Model. By using these properties, we identify the subsystems to be controlled by local ramp meters. The optimization problem is then formulated as a non-cooperative Nash game that is solved by decomposing it into a set of two-players hierarchical and competitive games. The process of optimization employs the communication channels matching the switching structure of system interconnectivity. By defining the internal model for the boundary flows, local optimal control problems are efficiently solved by utilizing the method of Linear Quadratic Regulator. The developed control strategy is tested via numerical simulations in two scenarios for uniformly congested and transient traffic.
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Contributeur : Carlos Canudas de Wit <>
Soumis le : mercredi 6 janvier 2016 - 17:23:31
Dernière modification le : jeudi 20 décembre 2018 - 01:25:50
Document(s) archivé(s) le : jeudi 7 avril 2016 - 16:12:56


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Dominik Pisarski, Carlos Canudas de Wit. Nash Game Based Distributed Control Design for Balancing of Traffic Density over Freeway Networks. IEEE Transactions on Control of Network Systems, IEEE, 2016, 3 (2), pp.149-161. 〈〉. 〈10.1109/TCNS.2015.2428332〉. 〈hal-01251805〉



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