Reference
M. Damoiseaux and B. De Schutter, "An efficient dispersion model for control of
emission levels in the vicinity of freeways,"
Proceedings of
the 2021 IEEE International Intelligent Transportation Systems Conference
(ITSC), Indianapolis, Indiana, pp. 2455-2462, Sept. 2021.
Abstract
Greenhouse gasses emitted by vehicles on a freeway displace to the area
downwind of the freeway with potential health risks as a result. In order to
predict and control the distribution of pollutants towards target areas near
highways, such as hospitals, schools, and residences, a model could be used.
Multiple authors have proposed so-called emission dispersion models, but none
is yet suited for on-line control of freeway networks. This is due to high
computational costs, inapplicability in constantly changing traffic networks,
or deviating purposes of the models. This work proposes a new dispersion model
that is able to model the distribution of pollutant gasses in the vicinity of a
freeway and that is applicable in real-time traffic control. The proposed
model, the Line Source Gaussian Puff (LSGP) model, is a modification of the
existing Gaussian puff model to make it suitable for dispersion modeling for
freeway sections. This is done by implementing line sources instead of point
sources. The results of the case study show that the new model is able to
minimize the amount of pollutant gasses nearby a freeway with a low
computational complexity in a model predictive control scheme.
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BibTeX
@inproceedings{DamDeS:21-012,
author = {Damoiseaux, Michiel and De Schutter, Bart},
title = {An Efficient Dispersion Model for Control of Emission Levels in
the Vicinity of Freeways},
booktitle = {Proceedings of the 2021 IEEE International Intelligent
Transportation Systems Conference (ITSC)},
address = {Indianapolis, Indiana},
pages = {2455--2462},
month = sep,
year = {2021}
}