Reference
S. Lin, B. De Schutter, Y. Xi, and J. Hellendoorn, "A simplified macroscopic
urban traffic network model for model-based predictive control,"
Proceedings of the 12th IFAC Symposium on Transportation
Systems, Redondo Beach, California, pp. 286-291, Sept. 2009.
Abstract
A model predictive control (MPC) approach offers several advantages for
controlling and coordinating urban traffic networks. To apply MPC in large
urban traffic networks, a fast model that has a low on-line computational
complexity is needed. In this paper, a simplified macroscopic urban traffic
network model is proposed and tested. Compared with a previous model, the model
reduces the computing time by enlarging its updating time intervals, and
preserves the computational accuracy as much as possible. Simulation results
show that the simplified model reduces the computing time significantly,
compared with the previous model that provided a good trade-off between
accuracy and computational complexity. We also illustrate that the
simplifications introduced in the simplified model have a limited impact on the
accuracy of the simulation results. As a consequence, the simplified model can
be used as prediction model for MPC for larger urban traffic network.
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BibTeX
@inproceedings{LinDeS:09-028,
author = {Lin, Shu and De Schutter, Bart and Xi, Yugeng and Hellendoorn,
Johannes},
title = {A Simplified Macroscopic Urban Traffic Network Model for
Model-Based Predictive Control},
booktitle = {Proceedings of the 12th IFAC Symposium on Transportation
Systems},
address = {Redondo Beach, California},
pages = {286--291},
month = sep,
year = {2009}
}