Reference
C. Pasquale, S. Sacone, S. Siri, and B. De Schutter, "A multi-class model-based
control scheme for reducing congestion and emissions in freeway networks by
combining ramp metering and route guidance,"
Transportation
Research Part C, vol. 80, pp. 348-408, July 2017.
Abstract
The paper proposes a multi-class control scheme for freeway traffic networks.
This control scheme combines two control strategies, i.e. ramp metering and
route guidance, in order to reduce the total time spent and the total emissions
in a balanced way. In particular, the ramp metering and route guidance
controllers are feedback predictive controllers, i.e. they compute the control
actions not only on the basis of the measured system state, but also on the
prediction of the system evolution, in terms of traffic conditions and fuel
emissions. Another important feature of the controllers is that they have a
multi-class nature: different classes of vehicles are considered and specific
control actions are computed for each class. Since the controllers are based on
a set of parameters that need to be tuned, the overall control framework also
includes a module to properly determine the gains of the controllers. The
simulation analysis reported in the paper shows the effectiveness of the
proposed control framework and, in particular, the possibility of implementing
control policies that are specific for each vehicle type.
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BibTeX
@article{PasSac:17-008,
author = {Pasquale, Cecilia and Sacone, Simona and Siri, Silvia and De
Schutter, Bart},
title = {A Multi-Class Model-Based Control Scheme for Reducing Congestion
and Emissions in Freeway Networks by Combining Ramp Metering and
Route Guidance},
journal = {Transportation Research Part C},
volume = {80},
pages = {348--408},
month = jul,
year = {2017}
}