Reference
J. R. D. Frejo and B. De Schutter,
"A logic-based speed limit control algorithm for variable speed limits to
reduce traffic congestion at bottlenecks,"
Proceedings of the
57th IEEE Conference on Decision and Control, Miami Beach, Florida, pp.
198-204, Dec. 2018.
Abstract
This paper proposes a logic-based control algorithm for Variable Speed Limits
(VSLs) in order to reduce or avoid traffic jams created at bottlenecks. The
proposed controller estimates, for each controller time step, the number of
vehicles that have to be held back or released by the VSLs in order to maximize
the outflow of the bottleneck (avoiding the capacity drop). Afterward, based on
the estimated number of vehicles, the VSLs are increased or decreased
sequentially. The proposed controller uses a feed-forward structure that allows
to anticipate the future evolution of the bottleneck density in order to avoid
or reduce traffic breakdowns. As a result, although the implementation of the
controller is quite easy with an almost instantaneous computation time, the
performance of the controller is effective in reducing Total Time Spent (TTS).
The proposed controller is tested, using the macroscopic traffic flow model
METANET, for 10 scenarios and the results are compared with the ones obtained
with the Mainstream Traffic Flow Control (MTFC) algorithm, and with the optimal
solution. The simulations show that the proposed controller is able to approach
the optimal behavior and that its behavior is quite robust (especially
comparing with MTFC) in cases where different demands are considered.
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BibTeX
@inproceedings{FreDeS:18-021,
author = {Frejo, Jos{\'{e}} Ram{\'{o}}n D. and De Schutter, Bart},
title = {A Logic-Based Speed Limit Control Algorithm for Variable Speed
Limits to Reduce Traffic Congestion at Bottlenecks},
booktitle = {Proceedings of the 57th IEEE Conference on Decision and
Control},
address = {Miami Beach, Florida},
pages = {198--204},
month = dec,
year = {2018}
}