Reference
S. K. Zegeye, B. De Schutter, J.
Hellendoorn, and
E. A. Breunesse,
"Model-based traffic control for the reduction of fuel consumption, emissions,
and travel time,"
Proceedings of mobil.TUM 2009 -
International Scientific Conference on Mobility and Transport, Munich,
Germany, 11 pp., May 2009.
Abstract
In this paper we use a model-based traffic control approach to determine
dynamic speed limits with the aim of reducing fuel consumption and emissions,
while still guaranteeing small travel times. The approach we propose is based
on model predictive control (MPC). MPC is a model-based control design method
that combines prediction and on-line optimization of a performance criterion
over a given time horizon to determine appropriate control inputs. MPC allows
the inclusion of constraints on inputs and outputs, and it can handle changes
in the system parameters by using a moving horizon approach, in which the model
and the control strategy are updated regularly. We consider reduction of the
total fuel consumption, total CO emissions, and total time spent in the traffic
network. For the MPC controller we use a microscopic car-following traffic flow
model and a microscopic emission and fuel consumption model. Based on
simulations we demonstrate that a traffic control strategy (such as MPC)
addressing total fuel consumption, total emissions, and total time spent can
result in a balanced reduction of all the performance measures, by considering
their weighted combinations as the overall performance criterion.
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BibTeX
@inproceedings{ZegDeS:09-049,
author = {Zegeye, Solomon Kidane and De Schutter, Bart and Hellendoorn,
Johannes and Breunesse, Ewald A.},
title = {Model-Based Traffic Control for the Reduction of Fuel
Consumption, Emissions, and Travel Time},
booktitle = {Proceedings of mobil.TUM 2009 -- International Scientific
Conference on Mobility and Transport},
address = {Munich, Germany},
month = may,
year = {2009}
}