**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.

Corresponding technical report: pdf file (178 KB)

@inproceedings{HegDeS:01-10,

author={A. Hegyi and B. {D}e Schutter and H. Hellendoorn},

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}

}

Go to the publications overview page.

This page is maintained by Bart De Schutter. Last update: August 12, 2020.