Open Access
Prolégomènes à une régulation sans modèle du trafic autoroutier
TLDR
The regulation of freeway traffic flow is achieved via the newly introduced model-free control, which is easy to implement and shows good robustness properties with respect to perturbations.Abstract:
The regulation of freeway traffic flow, which is a complex nonlinear system, is achieved via the newly introduced model-free control. Several computer simulations are validating our control strategy, which is easy to implement and shows good robustness properties with respect to perturbationsread more
Citations
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Adjustment of freeway ramp metering rates to balance entrance ramp queues
TL;DR: It is shown that the selection of RAMP rates to minimize the sum of the SQUARES of the DIFFERENCes BETWEEN the RAMP RATES and the CORRESPONDing EQUIVALENT DEMANDS can best be achieved by SOLVING a QuadRATIC PROGRAMMING PROGRAMS.
Posted Content
Nothing is as Practical as a Good Theory: Model-Free Control Rien de plus utile qu'une bonne théorie: la commande sans modèle
TL;DR: In this paper, the authors show that even with a partially known model, the utilization of an intelligent PI controller remains profitable and demonstrate the superiority of model-free control with respect to sliding modes control and techniques stemming from infinite-dimensional systems, such as delays or partial differential equations.
Freeway ramp metering control made easy and efficient
TL;DR: In this paper, model-free control and intelligent proportional-integral (PI) controllers are successfully applied to freeway ramp metering control and several excellent computer simulations are provided and analyzed.
Journal ArticleDOI
Towards an ultra-local model control of two-tank-system
TL;DR: In this article, a closed-loop control is implemented through an adaptive PI in order to reject the influences of the disturbance and noise output signals, which is based on the estimation of the ultra-local model parameters using least squares resolution technique instead of numerical derivation technique.
Journal Article
Feedback Techniques Using PID and PIIntelligentFor Greenhouse Temperature Control
Y. E Afou,L. Belkoura,M. Outanoute,M. Guerbaoui,A. Rahali,A. Ed-Dahhak,A. Lachhab,C. Join,Benachir Bouchikhi +8 more
TL;DR: New ways to control internal greenhouse temperature using two types of controllers: PID and PI-intelligent are examined, which give good results, except that the PID requires a method of parameters identification, which should be valid for a large time as possible.
References
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Journal Article
On kinetic waves, II . A theory of traffic flow on long crowded roads
M J Lighthill,G B Whitham +1 more
TL;DR: In this paper, a functional relationship between flow and concentration for traffic on crowded arterial roads has been postulated for some time, and has experimental backing, from which a theory of the propagation of changes in traffic distribution along these roads may be deduced.
Journal ArticleDOI
Shock Waves on the Highway
TL;DR: In this article, a simple theory of traffic flow is developed by replacing individual vehicles with a continuous fluid density and applying an empirical relation between speed and density, which is a simple graph-shearing process for following the development of traffic waves.
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Statistical physics of vehicular traffic and some related systems
TL;DR: In this paper, a critical review of particle-hopping models of vehicular traffic is presented, focusing on the results obtained mainly from the so-called "particle hopping" models, particularly emphasizing those formulated in recent years using the language of cellular automata.
Book
Traffic flow fundamentals
TL;DR: The remaining portion of the book, Chapters 8 through 13, is devoted to analytical techniques involving the total traffic flow situation; chapter subjects are, respectively, demand-supply analysis, capacity analysis, traffic stream models, shock wave analysis, queueing analysis, and computer simulation models.
Journal ArticleDOI
Review of road traffic control strategies
TL;DR: In this paper, a comprehensive overview of proposed and implemented control strategies is provided for three areas: urban road networks, freeway networks, and route guidance, and selected application results are briefly outlined to illustrate the impact of various control actions and strategies.