Reference
S. Lin, B. De Schutter, Y. Xi, and H. Hellendoorn, "Efficient network-wide
model-based predictive control for urban traffic networks,"
Transportation Research Part C, vol. 24, pp. 122-140, Oct.
2012.
Abstract
Traffic congestion has become a stringent issue in urban areas. Traffic control
systems are designed to make a better use of the existing traffic
infrastructures in order to improve traffic conditions. Along with the fast
development of the transportation infrastructures, traffic networks become
larger and more complex. Therefore, network-wide traffic control systems that
can coordinate the whole network and improve the utilization of the entire
traffic infrastructure, are highly required. In this paper, a structured
network-wide traffic controller is presented based on Model Predictive Control
(MPC) theory. Two macroscopic models are proposed to be the prediction model of
the MPC controller. One is more accurate, but correspondingly requires more
computation time; the other sacrifices a certain amount of accuracy, but is
computationally much more efficient. Based on these two models, MPC controllers
are developed. Simulation results show that the MPC controllers are capable of
coordinating an urban traffic network, especially in the situations that the
traffic flow is not spread evenly through the network. Through reducing the
prediction model, the corresponding MPC controller exhibits less on-line
computational burden, and thus becomes more applicable in practice. Therefore,
it becomes possible for the control system to deal with complex urban road
networks more efficiently.
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BibTeX
@article{LinDeS:12-002,
author = {Lin, Shu and De Schutter, Bart and Xi, Yugeng and Hellendoorn,
Hans},
title = {Efficient Network-Wide Model-Based Predictive Control for Urban
Traffic Networks},
journal = {Transportation Research Part C},
volume = {24},
pages = {122--140},
month = oct,
year = {2012}
}