Reference
M. van den Berg, B. De Schutter, J. Hellendoorn, and A. Hegyi, "Influencing
route choice in traffic networks: A model predictive control approach based on
mixed-integer linear programming,"
Proceedings of the 17th
IEEE International Conference on Control Applications, San Antonio,
Texas, pp. 299-304, Sept. 2008.
Abstract
Traffic control measures like variable speed limits or outflow control can be
used to influence the route choice of drivers. In this paper we develop a
day-to-day route choice control method that is based on model predictive
control (MPC). A basic route choice model forms the basis for the controller.
We show that for the given model and for a linear cost function it is possible
to reformulate the MPC optimization problem as a mixed-integer linear
programming (MILP) problem. For MILP problems efficient branch-and-bound
solvers are available that guarantee to find the global optimum. We also
illustrate the efficiency of the proposed approach for a simple simulation
example involving speed limit control.
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BibTeX
@inproceedings{vanDeS:08-010,
author = {van den Berg, Monique and De Schutter, Bart and Hellendoorn,
Johannes and Hegyi, Andreas},
title = {Influencing Route Choice in Traffic Networks: {A} Model
Predictive Control Approach Based on Mixed-Integer Linear
Programming},
booktitle = {Proceedings of the 17th IEEE International Conference on
Control Applications},
address = {San Antonio, Texas},
pages = {299--304},
month = sep,
year = {2008}
}