2014
DOI: 10.1109/tits.2013.2281666
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Robust Control for Urban Road Traffic Networks

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Cited by 73 publications
(45 citation statements)
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References 24 publications
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“…Accordingly, in this work, the NMPC technique of Grune and Pannek [29] is applied. Due to the major advantages paraphrased text mentioned earlier, MPC has been widely investigated for road traffic engineering as well, for example, Tettamanti et al [1], Aboudolas et al [2], Tettamanti et al [30], Tettamanti et al [5], Csikós et al [31], Ramezani et al [32] are a few relevant papers in the field of MPC based traffic control.…”
Section: Control Method: Nonlinear Model Predictive Controlmentioning
confidence: 99%
“…Accordingly, in this work, the NMPC technique of Grune and Pannek [29] is applied. Due to the major advantages paraphrased text mentioned earlier, MPC has been widely investigated for road traffic engineering as well, for example, Tettamanti et al [1], Aboudolas et al [2], Tettamanti et al [30], Tettamanti et al [5], Csikós et al [31], Ramezani et al [32] are a few relevant papers in the field of MPC based traffic control.…”
Section: Control Method: Nonlinear Model Predictive Controlmentioning
confidence: 99%
“…There are several applications of artificial intelligence to urban traffic control with the aim of creating intelligent systems that will optimise the flow of traffic in urban centers [5][6][7]. Yet, the existing urban traffic control (UTC) approaches are not generally optimal during unforeseen situations such as road incidents, car breakdown or when traffic demand changes rapidly within a short time interval [8,9].…”
Section: Urban Traffic Controlmentioning
confidence: 99%
“…It is necessary to note that, in the existing works that have applied the store-and-forward approach (e.g., [7,10,19]), the relationship (12) is ignored in the modeling, and the system is considered controllable by using the control variable g. However, such relationship is imposed by the physical signification; hence, it must be verified in the implementation of their proposed control strategies. For example, although the feedback control law of [7] is calculated without considering this relationship, its controller in real systems must solve a quadratic-programming (QP) problem in every cycle to obtain the most approximate green times that satisfy such condition.…”
Section: Controllability Studymentioning
confidence: 99%