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Communication dans un congrès

An Adaptive Control Strategy of Urban Signalized Intersection Using Petri Nets

Abstract : The dynamic behavior of traffic signals controlling an isolated intersections can be seen as a discrete event system that can be modeled by Petri nets. The approach used in this paper proposes an adaptive control strategy of urban signalized intersection in real time using T-timed Petri Nets (T-TPNs). This strategy allows to manage the green light time autonomously according to the queue size for each flow in each lane of the intersection. A decentralized approach is proposed for the decision-making, where every phase in the intersections can be considered as a sub-system to be modelled and controlled (by traffic lights) separately, then a global controller allows to manage the conflicts between several phases.
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Communication dans un congrès
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Contributeur : Louise DESSAIVRE Connectez-vous pour contacter le contributeur
Soumis le : mercredi 6 avril 2022 - 12:03:52
Dernière modification le : vendredi 5 août 2022 - 11:21:50


  • HAL Id : hal-03632406, version 1



Hajar Lamghari El Idrissi, Abdelouahed Tajer, Ahmed Nait-Sidi-Moh, Badr Dakkak. An Adaptive Control Strategy of Urban Signalized Intersection Using Petri Nets. 2018 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND DIAGNOSIS (ICCAD), Mar 2018, Marrakech, Morocco. ⟨hal-03632406⟩



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