Model predictive control for optimal coordination of ramp metering and variable speed control


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.


Downloads:
 * Corresponding technical report: pdf file (181 KB)
      Note: More information on the pdf file format mentioned above can be found here.


Bibtex entry:

@inproceedings{HegDeS:01-10,
        author={A. Hegyi and B. {De 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: December 15, 2015.