Reference
G. S. van de Weg, A. Hegyi,
S. P. Hoogendoorn, and B. De Schutter,
"Efficient freeway MPC by parameterization of ALINEA and a speed-limited area,"
IEEE Transactions on Intelligent Transportation
Systems, vol. 20, no. 1, pp. 16-29, Jan. 2019.
Abstract
Freeway congestion can reduce the freeway throughput due to the capacity drop
or due to blocking caused by spillback to upstream ramps. Research has shown
that congestion can be reduced by the application of ramp metering and variable
speed limits. Model predictive control is a promising strategy for the
optimization of the ramp metering rates and variable speed limits to improve
the freeway throughput. However, several challenges have to be addressed before
it can be applied for the control of freeway traffic. This paper focuses on the
challenge of reducing the computation time of MPC strategies for the
integration of variable speed limits and ramp metering. This is realized via a
parameterized control strategy that optimizes the upstream and downstream
boundaries of a speed-limited area and the parameters of the ALINEA ramp
metering strategy. Due to the parameterization, the solution space reduces
substantially, leading to an improved computation time. More specifically, the
number of optimization variables for the variable speed limit strategy becomes
independent of the number of variable message signs, and the number of
optimization variables for the ramp metering strategy becomes independent of
the prediction horizon. The control strategy is evaluated with a macroscopic
model of a two-lane freeway with two on-ramps and off-ramps. It is shown that
parameterization realizes improved throughput when compared to a
non-parameterized strategy when using the same amount of computation time.
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BibTeX
@article{vanHeg:18-005,
author = {van de Weg, Goof S. and Hegyi, Andreas and Hoogendoorn, Serge P.
and De Schutter, Bart},
title = {Efficient Freeway {MPC} by Parameterization of {ALINEA} and a
Speed-Limited Area},
journal = {IEEE Transactions on Intelligent Transportation Systems},
volume = {20},
number = {1},
pages = {16--29},
month = jan,
year = {2019}
}