Applications of Automatic Control Concepts to Traffic Flow Modeling and Control
Applications of Automatic Control Concepts to Traffic Flow Modeling and Control
Petri net translation patterns for the analysis of ebusiness collaboration messaging protocols
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Supervisor synthesis for enforcing a class of generalized mutual exclusion constraints on petri nets
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Discrete, Continuous, and Hybrid Petri Nets
Discrete, Continuous, and Hybrid Petri Nets
Traffic flow modeling of large-scale motorway networks using the macroscopic modeling tool METANET
IEEE Transactions on Intelligent Transportation Systems
Urban traffic control structure based on hybrid Petri nets
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
On fluidization of discrete event models: observation and control of continuous Petri nets
Discrete Event Dynamic Systems
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Traffic systems are often highly populated discrete event systems that exhibit several modes of behavior such as free flow traffic, traffic jams, stop-and-go waves, etc. An appropriate closed loop control of the congested system is crucial in order to avoid undesirable behavior. This paper proposes a macroscopic model based on continuous Petri nets as a tool for designing control laws that improve the behavior of traffic systems. The main reason to use a continuous model is to avoid the state explosion problem inherent to large discrete event systems. The obtained model captures the different operation modes of a traffic system and is highly compositional. In order to handle the variability of the traffic conditions, a model predictive control strategy is proposed and validated.