Model predictive control with repeated model fitting for ramp metering


Reference:

T. Bellemans, B. De Schutter, and B. De Moor, "Model predictive control with repeated model fitting for ramp metering," Proceedings of the IEEE 5th International Conference on Intelligent Transportation Systems (ITSC'02), Singapore, pp. 236-241, Sept. 2002.

Abstract:

In this paper we deal with model predictive control for ramp metering on motorways. A discussion of the way ramp metering tries to prevent, or postpone, congestion on a motorway is presented. As an example, a real-life motorway in Belgium is presented. We discuss a traffic flow model that is used in a receding horizon framework and we argue that the quality of the fit of the traffic flow model to the measurement data has an impact on the quality of the optimised metering signals. Therefore, we suggest to re-fit the most sensitive parameters of the traffic flow model on a regular basis. We conclude this paper with some simulation results.

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Bibtex entry:

@inproceedings{BelDeS:02-010,
author={T. Bellemans and B. {D}e Schutter and B. {D}e Moor},
title={Model predictive control with repeated model fitting for ramp metering},
booktitle={Proceedings of the IEEE 5th International Conference on Intelligent Transportation Systems (ITSC'02)},
address={Singapore},
pages={236--241},
month=sep,
year={2002}
}


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