Optimal Routing for Intelligent Vehicle Highway Systems Using a
Macroscopic Traffic Flow Model
Reference
L.D. Baskar,
B. De Schutter, and
J. Hellendoorn,
"Optimal Routing for Intelligent Vehicle Highway Systems Using a
Macroscopic Traffic Flow Model," Proceedings of the
12th International IEEE Conference on Intelligent Transportation
Systems (ITSC 2009), St. Louis, Missouri, pp. 576-581, Oct.
2009.
Abstract
We consider Intelligent Vehicle Highway Systems (IVHS) consisting of
automated highway systems on which intelligent vehicles organized in
platoons drive to their destination, controlled by a hierarchical
control framework. In this framework there are roadside controllers
that manage single stretches of highways. A collection of highways is
then supervised by so-called area controllers. We focus on the optimal
route choice control problem for the area controllers. In general,
this problem is a nonlinear integer optimization problem with high
computational requirements, which makes the problem intractable in
practice. Therefore, we first propose a simplified but fast simulation
model to describe the flows of platoons in the network. This model is
a modified version of the macroscopic METANET traffic flow model,
adapted to the case of platoons. Next, we use this model in a
model-based predictive control approach in order to determine optimal
splitting rates at the network nodes. These splitting rates can
subsequently be communicated to the roadside controllers, which
translate them into actual route instructions for the individual
platoons.
Downloads
- Corresponding technical report:
pdf
file
(306 KB)
Bibtex entry
@inproceedings{BasDeS:09-038,
author={L.D. Baskar and B. {D}e Schutter and J. Hellendoorn},
title={Optimal Routing for Intelligent Vehicle Highway Systems Using a
Macroscopic Traffic Flow Model},
booktitle={Proceedings of the 12th International IEEE Conference on Intelligent
Transportation Systems (ITSC 2009)},
address={St.\ Louis, Missouri},
pages={576--581},
month=oct,
year={2009}
}
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