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Influencing route choice in traffic networks: A model predictive control approach based on mixed-integer linear programming

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4 Author(s)
van den Berg, M. ; Delft Center for Syst. & Control, Delft Univ. of Technol., Delft ; De Schutter, B. ; Hellendoorn, J. ; Hegyi, A.

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.

Published in:

Control Applications, 2008. CCA 2008. IEEE International Conference on

Date of Conference:

3-5 Sept. 2008