Reference
M. Hajiahmadi,
V. L. Knoop, B. De
Schutter, and H. Hellendoorn, "Optimal dynamic route guidance: A model
predictive approach using the macroscopic fundamental diagram,"
Proceedings of the 16th International IEEE Conference on Intelligent
Transportation Systems (ITSC 2013), The Hague, The Netherlands, pp.
1022-1028, Oct. 2013.
Abstract
Since centralized control of urban networks with detailed modeling approaches
is computationally complex and inefficient, hierarchical decentralized methods
based on aggregate models are of great importance. In this paper, we use an
aggregate modeling approach based on the macroscopic fundamental diagram (MFD),
in order to find dynamic optimal routing strategies. An urban area can be
divided into homogeneous regions each modeled by a (set of) macroscopic
fundamental diagrams. Thus, the problem of route guidance can be solved in a
regional fashion by using model predictive control and the novel high-level
MFD-based model used for prediction of traffic states in the urban network. The
optimal routing advices obtained from the high-level controller can be used as
references (to track) for lower-level local controllers installed at the
borders of the regions. Hence, the complexity of solving the routing problem
will be decreased significantly. The performance of the proposed approach is
evaluated using a multi-origin multi-destination grid network. Further, the
obtained results show significant performance of the optimal dynamic route
guidance over other static routing methods.
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BibTeX
@inproceedings{HajKno:13-033,
author = {Hajiahmadi, Mohammad and Knoop, Victor L. and De Schutter, Bart
and Hellendoorn, Hans},
title = {Optimal Dynamic Route Guidance: {A} Model Predictive Approach
Using the Macroscopic Fundamental Diagram},
booktitle = {Proceedings of the 16th International IEEE Conference on
Intelligent Transportation Systems (ITSC 2013)},
address = {The Hague, The Netherlands},
pages = {1022--1028},
month = oct,
year = {2013}
}