TY - JOUR
T1 - Model-based predictive control for bicycling in urban intersections
AU - Portilla, C
AU - Valencia, F
AU - Espinosa, J
AU - Nunez Vicencio, Alfredo
AU - De Schutter, Bart
N1 - Accepted Author Manuscript
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - Bicycle traffic model
KW - multi-modal traffic control
KW - model predictive control
UR - http://resolver.tudelft.nl/uuid:f414a166-7f8c-4bc5-8ae5-c76497efe6cd
U2 - 10.1016/j.trc.2015.11.016
DO - 10.1016/j.trc.2015.11.016
M3 - Article
SN - 0968-090X
VL - 70
SP - 27
EP - 41
JO - Transportation Research. Part C: Emerging Technologies
JF - Transportation Research. Part C: Emerging Technologies
ER -