Reference
A. Hegyi, B. De Schutter, and H. Hellendoorn, "Model predictive control for
optimal coordination of ramp metering and variable speed limits,"
Transportation Research Part C, vol. 13, no. 3, pp. 185-209,
June 2005.
Abstract
This paper discusses the optimal coordination of variable speed limits and ramp
metering in a freeway traffic network, where the objective of the control is to
minimize the total time that vehicles spend in the network. Coordinated freeway
traffic control is a new development where the control problem is to find the
combination of control measures that results in the best network performance.
This problem is solved by model predictive control, where the macroscopic
traffic flow model METANET is used as the prediction model. We extend this
model with a model for dynamic speed limits and for mainstream origins. This
approach results in a predictive coordinated control approach where variable
speed limits can prevent a traffic breakdown and maintain a higher outflow even
when ramp metering is unable to prevent congestion (e.g., because of an on-ramp
queue constraint). The use of dynamic speed limits significantly reduces
congestion and results in a lower total time spent. Since the primary effect of
the speed limits is the limitation of the main-stream flow, a comparison is
made with the case where the speed limits are replaced by main-stream metering.
The resulting performances are comparable. Since the range of flows that
main-stream metering and dynamic speed limits can control is different, it is
concluded that the choice between the two should be primarily based on the
traffic demands.
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BibTeX
@article{HegDeS:03-016,
author = {Hegyi, Andreas and De Schutter, Bart and Hellendoorn, Hans},
title = {Model Predictive Control for Optimal Coordination of Ramp
Metering and Variable Speed Limits},
journal = {Transportation Research Part C},
volume = {13},
number = {3},
pages = {185--209},
month = jun,
year = {2005}
}