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.
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BibTeX
@inproceedings{BasDeS:09-038,
author = {Baskar, Lakshmi Devi and De Schutter, Bart and Hellendoorn,
Johannes},
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}
}