Model-Based Traffic and Emission Control Using PWA Models - A
Mixed-Logical Dynamic Approach
Reference
N. Groot,
B. De Schutter,
S.K. Zegeye, and
H. Hellendoorn,
"Model-Based Traffic and Emission Control Using PWA Models - A
Mixed-Logical Dynamic Approach," Proceedings of the
14th International IEEE Conference on Intelligent Transportation
Systems (ITSC 2011), Washington, DC, pp. 2142-2147, Oct. 2011.
Abstract
For the purpose of traffic control a piecewise-affine (PWA)
approximation of the METANET model is proposed and tested in a
model-based predictive control (MPC) framework. This approximation is
provided as an alternative to the rather intensive computations when
using the original nonlinear nonconvex METANET traffic flow model
extended with a model for vehicular emissions and fuel consumption in
an MPC context. As a direct PWA-MPC computation turned out to be
intractable for on-line applications due to the size of the final,
full PWA model that consists of a large number of PWA regions, the PWA
model equations were additionally converted into a mixed-logical
dynamic (MLD) model. The resulting MLD-MPC problem - written as a
mixed-integer linear program (MILP) - can be solved much more
efficiently as it does not explicitly state all model equations for
each particular region. In a simple case study on a traffic network
including a variable speed limit and an un-metered on-ramp while
optimizing the total time spent (TTS), we compared the performance of
the approximate MLD-MPC approach to that of model predictive traffic
control when using the original nonlinear formulation of the METANET
model.
Downloads
- Corresponding technical report:
pdf
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(336 KB)
Bibtex entry
@inproceedings{GroDeS:11-030,
author={N. Groot and B. {D}e Schutter and S.K. Zegeye and H. Hellendoorn},
title={Model-Based Traffic and Emission Control Using {PWA} Models -- {A}
Mixed-Logical Dynamic Approach},
booktitle={Proceedings of the 14th International IEEE Conference on Intelligent
Transportation Systems (ITSC 2011)},
address={Washington, DC},
pages={2142--2147},
month=oct,
year={2011}
}
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