Multi-Agent Model Predictive Control of Transportation Networks
Reference
R.R. Negenborn,
B. De Schutter, and
H. Hellendoorn,
"Multi-Agent Model Predictive Control of Transportation Networks,"
Proceedings of the 2006 IEEE International Conference
on Networking, Sensing and Control (ICNSC 2006), Ft.
Lauderdale, Florida, pp. 296-301, Apr. 2006.
Abstract
We consider multi-agent, or distributed, control of transportation
networks, like traffic, water, and power networks. These networks
typically have a large geographical span, modular structure, and a
large number of components that require control. We discuss the
necessity of a multi-agent control setting in which multiple agents
control parts of the network. As potential control methodology we
consider Model Predictive Control (MPC) in a multi-agent setting. We
first outline a framework for modeling transportation networks into
subsystems using external variables and then discuss issues that arise
when controlling these networks with multi-agent MPC. Several
approaches to these issues are structured and discussed in terms of
the outlined framework.
Downloads
- Corresponding technical report:
pdf
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(277 KB)
Bibtex entry
@inproceedings{NegDeS:05-021,
author={R.R. Negenborn and B. {D}e Schutter and H. Hellendoorn},
title={Multi-Agent Model Predictive Control of Transportation Networks},
booktitle={Proceedings of the 2006 IEEE International Conference on Networking,
Sensing and Control (ICNSC 2006)},
address={Ft.\ Lauderdale, Florida},
pages={296--301},
month=apr,
year={2006}
}
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Last update: February 21, 2026.