Reference
A. Hegyi, B. De Schutter, and H. Hellendoorn, "Model predictive control for
optimal coordination of ramp metering and variable speed control,"
Proceedings of the 1st International NAISO Congress on Neuro Fuzzy
Technologies (NF 2002), Havana, Cuba, 12 pp., Jan. 2002. Paper
#100027-01-HH-152.
Abstract
We apply model predictive control to optimally coordinate variable speed limits
and ramp metering. The basic idea is that speed limits can increase the
(density) range in which ramp metering is useful. For the prediction we use a
slightly adapted version of the METANET traffic flow model that takes the
variable speed limits into account. The optimal control signals aim at
minimizing the total time that vehicles spend in the network. The coordinated
control results in a network with less congestion, a higher outflow, and a
lower total time spent. In addition, the receding horizon approach of model
predictive control results in an adaptive, on-line control strategy that can
take changes in the system automatically into account. We illustrate our
approach by comparing the cases 'ramp metering only' and 'coordinated ramp
metering and speed limits' for a simple network.
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BibTeX
@inproceedings{HegDeS:01-10,
author = {Hegyi, Andreas and De Schutter, Bart and Hellendoorn, Hans},
title = {Model Predictive Control for Optimal Coordination of Ramp
Metering and Variable Speed Control},
booktitle = {Proceedings of the 1st International NAISO Congress on Neuro
Fuzzy Technologies (NF 2002)},
address = {Havana, Cuba},
month = jan,
year = {2002},
note = {Paper \#100027-01-HH-152}
}