Reference
M. Burger, A. Hegyi, and B. De Schutter, "Suitability of different mean speeds
for model-based traffic control,"
Proceedings of the 87th
Annual Meeting of the Transportation Research Board, Washington, DC, 18
pp., Jan. 2008. Paper 08-2010.
Abstract
Traffic jams are an economic and environmental problem in many countries. When
traffic demand exceeds the freeway capacity, shock waves can be caused by small
disturbances in the traffic flow. Since it is not always desirable or feasible
to add more lanes on freeways to overcome capacity problems, alternative
methods have been developed to reduce and to dissolve traffic jams. One of
these methods is using model-based traffic control. The model-based methods use
traffic flow models, in which the speeds are typically space mean speeds, while
the measured speeds on a freeway are often time mean speeds (measured by loop
detectors). The difference between using space mean speeds and time mean speeds
for model-based methods has not yet been addressed in literature. In this
paper, we investigate the possible performance loss caused by using another
mean speed type than the space mean speed for model-based traffic control.
Methods for approximating the space mean speed based on local measurements are
discussed, together with the time mean speed and geometric mean speed. The
suitability of six mean speed types is investigated using microscopic
simulation. Next, the three most suitable mean speed types for model-based
traffic control are used to determine dynamic speed limits on a freeway using a
model predictive control approach. All three types of mean speeds result in the
resolution of the congestion in the test scenario and lead to a performance
improvement of about 14%.
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BibTeX
@inproceedings{BurHeg:07-029,
author = {Burger, Mernout and Hegyi, Andreas and De Schutter, Bart},
title = {Suitability of Different Mean Speeds for Model-Based Traffic
Control},
booktitle = {Proceedings of the 87th Annual Meeting of the Transportation
Research Board},
address = {Washington, DC},
month = jan,
year = {2008},
note = {Paper 08-2010}
}