Model Predictive Control for Intelligent Speed Adaptation in
Intelligent Vehicle Highway Systems
Reference
L.D. Baskar,
B. De Schutter, and
H. Hellendoorn,
"Model Predictive Control for Intelligent Speed Adaptation in
Intelligent Vehicle Highway Systems," Proceedings of
the 17th IEEE International Conference on Control Applications,
San Antonio, Texas, pp. 468-473, Sept. 2008.
Abstract
Intelligent Vehicle Highway Systems (IVHS) consist of automated
highway systems in combination with intelligent vehicles and roadside
controllers. The intelligent vehicles can communicate with each other
and with the roadside infrastructure. The vehicles are organized in
platoons with short intraplatoon distances, and larger distances
between platoons. Moreover, all vehicles are assumed to be automated,
i.e., throttle, braking, and steering commands are determined by an
automated on-board controller. In this paper we first propose a model
predictive control (MPC) approach to determine appropriate speeds for
the platoons. Next, we discuss which prediction models are suited to
be used as an on-line traffic prediction model in MPC for IVHS. The
proposed approach is then applied to a simple simulation example in
which the aim is to minimize the total time all vehicles spend in the
network by optimally assigning speeds to the platoons.
Downloads
- Corresponding technical report:
pdf
file
(278 KB)
Bibtex entry
@inproceedings{BasDeS:08-011,
author={L.D. Baskar and B. {D}e Schutter and H. Hellendoorn},
title={Model Predictive Control for Intelligent Speed Adaptation in Intelligent
Vehicle Highway Systems},
booktitle={Proceedings of the 17th IEEE International Conference on Control
Applications},
address={San Antonio, Texas},
pages={468--473},
month=sep,
year={2008}
}
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