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.
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BibTeX
@inproceedings{BasDeS:08-011,
author = {Baskar, Lakshmi Devi and De Schutter, Bart and Hellendoorn,
Hans},
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}
}