An Adaptive Control Strategy of Urban Signalized Intersection Using Petri Nets

Hajar Lamghari (1) , Abdelouahed Tajer (1) , Ahmed Nait-Sidi-Moh (2) , Badr Dakkak (1)

1 UCA - Université Cadi Ayyad [Marrakech]
2 LTI - Laboratoire des technologies innovantes - UR UPJV 3899

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 subsystem to be modelled and controlled (by traffic lights) separately, then a global controller allows to manage the conflicts between several phases.

Mots clés: Timed Petri net; discrete event systems; decentralized approach; traffic signal control

Domaines: Automatique; Modélisation et simulation

Hajar Lamghari, Abdelouahed Tajer, Ahmed Nait-Sidi-Moh, Badr Dakkak. An Adaptive Control Strategy of Urban Signalized Intersection Using Petri Nets. The International Conference on Control, Automation and Diagnosis (ICCAD2018), Mar 2018, Marrakech, Morocco. ⟨hal-01993466⟩