Reference
J. R. D. Frejo, A.
Núñez, B. De Schutter, and
E. F. Camacho, "Model predictive control for
freeway traffic using discrete speed limit signals,"
Proceedings of the 2013 European Control Conference,
Zürich, Switzerland, pp. 4033-4038, July 2013.
Abstract
A model predictive control (MPC) approach for freeway traffic control using
discrete signals for the activation of variable speed limit panels is proposed.
The discrete characteristics of the panels and some necessary constraints for
their real operation are usually underestimated in the literature, so first we
propose a way to include them using the macroscopic traffic model METANET
within an MPC framework. For obtaining practical discrete signals, the MPC
controller has to solve a highly non-linear optimization problem, including
mixed-integer variables. Since solving such a problem is complex and difficult
to execute in real-time, we propose some methods to obtain reasonable control
actions in a limited computation time. The methods consist of first relaxing
the discrete constraints for the inputs; and then, based on this continuous
solution and together with different search methods, to find discrete speed
limit signals that provide the best performance, keeping the number of
simulations reduced. The proposed methods are tested by simulation, showing not
only a good performance but also keeping the computational time reduced.
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BibTeX
@inproceedings{FreNun:13-021,
author = {Frejo, Jos{\'{e}} Ram{\'{o}}n D. and N{\'{u}}{\~{n}}ez, Alfredo
and De Schutter, Bart and Camacho, Eduardo F.},
title = {Model Predictive Control for Freeway Traffic Using Discrete
Speed Limit Signals},
booktitle = {Proceedings of the 2013 European Control Conference},
address = {Z\"urich, Switzerland},
pages = {4033--4038},
month = jul,
year = {2013}
}