Model-based predictive control for bicycling in urban intersections


Reference:
C. Portilla, F. Valencia, J. Espinosa, A. Núñez, and B. De Schutter, "Model-based predictive control for bicycling in urban intersections," Transportation Research Part C, vol. 70, pp. 27-41, Sept. 2016.

Abstract:
In this paper, a model predictive control approach for improving the efficiency of bicycling as part of intermodal transportation systems is proposed. Considering a dedicated bicycle lanes infrastructure, the focus in this paper is to optimize the dynamic interaction between bicycles and vehicles at the multimodal urban traffic intersections. In the proposed approach, a dynamic model for the flows, queues, and number of both vehicles and bicycles is explicitly incorporated in the controller. For obtaining a good trade-off between the total time spent by the cyclists and by the drivers, a Pareto analysis is proposed to adjust the objective function of the MPC controller. Simulation results for a two-intersections urban traffic network are presented and the controller is analyzed considering different methods of including in the MPC controller the inflow demands of both vehicles and bicycles.


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Bibtex entry:

@article{PorVal:15-044,
        author={C. Portilla and F. Valencia and J. Espinosa and A. N{\'{u}}{\~{n}}ez and B. {D}e Schutter},
        title={Model-based predictive control for bicycling in urban intersections},
        journal={Transportation Research Part C},
        volume={70},
        pages={27--41},
        month=sep,
        year={2016},
        doi={10.1016/j.trc.2015.11.016}
        }



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