Reference
B. De Schutter, "Model predictive traffic control for green mobility,"
Proceedings of the 2014 European Control Conference,
Strasbourg, France, pp. 2260-2263, June 2014.
Abstract
This tutorial provides a short overview of model-based predictive control
approaches for traffic management using multiple performance criteria,
including green mobility performance measures such as reduction of emissions
and reduction of fuel consumption. In this paper we will briefly discuss the
most important aspects of the topic, while also providing the interested reader
with a non-exhaustive list of references that provide a more in-depth treatment
of the subject. We start with a brief description of traffic management. Next,
we discuss traffic flow and emission models, with an emphasis on macroscopic
models, as they are well suited for on-line model-based predictive traffic
control, highlighting the importance of the balance between accuracy and
control performance. Next, we focus on the use of model-based predictive
control (MPC) for coordinated control of various traffic control measures in
small-scale freeway networks. Finally, we discuss various ways to improve the
computation speed when solving the MPC optimization problem.
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BibTeX
@inproceedings{DeS:14-034,
author = {De Schutter, Bart},
title = {Model Predictive Traffic Control for Green Mobility},
booktitle = {Proceedings of the 2014 European Control Conference},
address = {Strasbourg, France},
pages = {2260--2263},
month = jun,
year = {2014}
}