Reference
L. D. Baskar, B. De Schutter, and H.
Hellendoorn, "Traffic management for automated highway systems using
model-based predictive control,"
IEEE Transactions on
Intelligent Transportation Systems, vol. 13, no. 2, pp. 838-847, June
2012.
Abstract
We present an integrated traffic management and control approach for Automated
Highway Systems (AHS). The AHS consist of interacting roadside controllers and
intelligent vehicles that are organized in platoons with short intraplatoon
distances, and larger distances between platoons. All vehicles are assumed to
be fully automated, i.e., throttle, braking, and steering commands are
determined by an automated on-board controller. The proposed control approach
is based on a hierarchical traffic control architecture for AHS, and it also
takes the connection and transition between the non-automated part of the road
network and the AHS into account. In particular, we combine dynamic speed
limits and lane allocation for the platoons on the AHS highways with access
control for the on-ramps using ramp metering, and we propose a model-based
predictive control approach to determine optimal speed limits and lane
allocations as well as optimal release times for the platoons at the on-ramps.
In order to illustrate the potential of the proposed traffic control method, we
apply it to a simple simulation example.
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BibTeX
@article{BasDeS:11-045,
author = {Baskar, Lakshmi Devi and De Schutter, Bart and Hellendoorn,
Hans},
title = {Traffic Management for Automated Highway Systems Using
Model-Based Predictive Control},
journal = {IEEE Transactions on Intelligent Transportation Systems},
volume = {13},
number = {2},
pages = {838--847},
month = jun,
year = {2012}
}