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Towards scalable optimal traffic control

Pietro Grandinetti 1 Federica Garin 1 Carlos Canudas de Wit 1
1 NECS - Networked Controlled Systems
GIPSA-DA - Département Automatique, Inria Grenoble - Rhône-Alpes
Abstract : This paper deals with scalable control of traffic lights in urban traffic networks. Optimization is done in real time, so as to take into account variable traffic demands.At each cycle of the traffic lights, the optimization concerns times instants where each traffic light starts and ends its green phase: this allows to describe both the duty-cycle and the phase shifts.First, we formulate a global optimization problem, which can be cast as a mixed-integer linear program. To overcome the complexity of this centralized approach, we also propose a decentralized suboptimal algorithm, whose simplicity allows on-line implementation. Simulations show the effectiveness of the proposed strategies.
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Contributor : Pietro Grandinetti <>
Submitted on : Wednesday, September 23, 2015 - 10:05:06 AM
Last modification on : Wednesday, May 13, 2020 - 4:16:01 PM
Document(s) archivé(s) le : Tuesday, December 29, 2015 - 9:31:13 AM


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  • HAL Id : hal-01188811, version 1



Pietro Grandinetti, Federica Garin, Carlos Canudas de Wit. Towards scalable optimal traffic control. 54th IEEE Conference on Decision and Control (CDC 2015), Dec 2015, Osaka, Japan. ⟨hal-01188811⟩



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