Reference
S. Liu, B. De Schutter, and H. Hellendoorn, "Model predictive traffic control
based on a new multi-class METANET model,"
Proceedings of the
19th IFAC World Congress, Cape Town, South Africa, pp. 8781-8786, Aug.
2014.
Abstract
Multi-class traffic flow models account for the heterogeneous characteristics
of traffic networks. This leads to higher accuracy when applying them for
on-line model-based control. We propose a new multi-class METANET model. The
proposed model is an extension of the single-class macroscopic traffic flow
model METANET. In the new model, each vehicle class is subject to its own
single-class fundamental diagram, and is limited within an assigned space. In
this paper, model predictive control is used for on-line traffic control based
on the newly proposed model. A case study is implemented for illustrating the
efficiency of the new multi-class model. More specifically, the simulation
results show that the new multi-class METANET model leads to a better
performance than single-class METANET model.
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BibTeX
@inproceedings{LiuDeS:14-020,
author = {Liu, Shuai and De Schutter, Bart and Hellendoorn, Hans},
title = {Model Predictive Traffic Control Based on a New Multi-Class
{METANET} Model},
booktitle = {Proceedings of the 19th IFAC World Congress},
address = {Cape Town, South Africa},
pages = {8781--8786},
month = aug,
year = {2014}
}