Reference
M. Burger, A. Hegyi, and B. De Schutter, "Model-based speed limit control with
different traffic state measurements,"
Proceedings of the 17th
IFAC World Congress, Seoul, Korea, pp. 14072-14077, July 2008.
Abstract
In this paper, traffic flow is controlled using dynamic speed limits, obtained
by Model Predictive Control (MPC). MPC is a model-based approach, where the
states of the system, influenced by control actions, are predicted over a
certain time span. The states of the system are the mean speeds and densities
on the motorway. Traffic flow models typically use space mean speeds, while
measurements on motorways are often time mean speeds. Several methods for
obtaining estimates of the space mean speed based on the time mean speeds are
discussed, and the possible performance loss of using another mean speed than
the space mean speed for model-based traffic control is investigated. The
resulting controllers, using the different estimates, are evaluated for a
scenario where speed limits are used to eliminate a shock wave from a motorway
by comparing the achieved reduction in the total time that the vehicles spend
on the motorway (TTS). The result show that the performance for the different
estimation methods is comparable, and lead to an improvement of the TTS of
around 14%.
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BibTeX
@inproceedings{BurHeg:07-034,
author = {Burger, Mernout and Hegyi, Andreas and De Schutter, Bart},
title = {Model-Based Speed Limit Control with Different Traffic State
Measurements},
booktitle = {Proceedings of the 17th IFAC World Congress},
address = {Seoul, Korea},
pages = {14072--14077},
month = jul,
year = {2008}
}