Reference
S. Lin, B. De Schutter, Y. Xi, and H. Hellendoorn, "An efficient model-based
method for coordinated control of urban traffic networks,"
Proceedings of the 2010 IEEE International Conference on Networking,
Sensing and Control, Chicago, Illinois, p. 8-13, Apr. 2010.
Abstract
Traffic control is an effective and also efficient approach to reduce traffic
jams. To alleviate the traffic congestion in an urban traffic network, a
traffic control strategy that can coordinate the whole traffic network from a
global point of view, is required. In this paper, an advanced control strategy,
i.e. Model Predictive Control (MPC), is applied to control and coordinate urban
traffic networks. However, the on-line computational complexity becomes a big
challenge when the scale of the traffic network gets larger. To overcome this
problem, the MPC control strategy is reformulated and solved efficiently
on-line by a Mixed-Integer Linear Programming (MILP) solver. An MPC controller
based on MILP is established and studied for the urban traffic network in
different traffic scenarios. The simulation results show that the MILP-based
MPC controller is a promising approach to reduce the on-line computational
complexity of MPC controllers for urban traffic networks.
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BibTeX
@inproceedings{LinDeS:10-011,
author = {Lin, Shu and De Schutter, Bart and Xi, Yugeng and Hellendoorn,
Hans},
title = {An efficient model-based method for coordinated control of
urban traffic networks},
booktitle = {Proceedings of the 2010 IEEE International Conference on
Networking, Sensing and Control},
address = {Chicago, Illinois},
pages = {8-13},
month = apr,
year = {2010}
}