Reference
M. van den Berg, B. De Schutter, A. Hegyi, and J. Hellendoorn, "Model
predictive control for mixed urban and freeway networks,"
Proceedings of the 83rd Annual Meeting of the Transportation
Research Board, Washington, DC, 19 pp., Jan. 2004. Paper 04-3327.
Abstract
We consider coordinated traffic control for networks consisting of both urban
roads and freeways. One of the main problems that has to be addressed when
designing traffic control strategies for such networks is that we should
prevent a shift of problems from the urban network to the freeway network (or
vice versa) due to the applied control strategy. First, we develop an
integrated model to describe the evolution of the traffic situation in mixed
urban and freeway networks. For the freeways we use the METANET macroscopic
traffic flow model. For the urban traffic a new model is developed that is
based on an earlier model by Kashani. Furthermore, we also provide model
equations that describe the connection between the two models via on-ramps and
off-ramps. Next, we present a model predictive control framework for mixed
urban and freeway networks. The control objective used in this paper is the
total time spent by all vehicles in the network, and the control measures are
the urban traffic signals (but the method can easily be extended to include
other objectives and/or control measures). Finally, we illustrate our approach
with a synthetic case study that captures the essential elements of a mixed
urban and freeway network.
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BibTeX
@inproceedings{vanDeS:03-009,
author = {van den Berg, Monique and De Schutter, Bart and Hegyi, Andreas
and Hellendoorn, Johannes},
title = {Model Predictive Control for Mixed Urban and Freeway Networks},
booktitle = {Proceedings of the 83rd Annual Meeting of the Transportation
Research Board},
address = {Washington, DC},
month = jan,
year = {2004},
note = {Paper 04-3327}
}