Model-based predictive control for bicycling in urban intersections
C Portilla (Universidad Nacional de Colombia - Medellin)
F Valencia (Universidad Nacional de Colombia - Medellin, Universidad de Chile)
J Espinosa (Universidad Nacional de Colombia - Medellin)
Alfredo Nunez Vicencio (TU Delft - Railway Engineering)
Bart De Schutter (TU Delft - Team Bart De Schutter)
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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.