Model-based predictive control for bicycling in urban intersections
Author
dc.contributor.author
Portilla, C.
Author
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Valencia, F.
Author
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Espinosa, J.
Author
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Núñez, A.
Author
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De Schutter, B.
Admission date
dc.date.accessioned
2017-03-02T15:20:01Z
Available date
dc.date.available
2017-03-02T15:20:01Z
Publication date
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2016
Cita de ítem
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Transportation Research Part C-Emerging Technologies. Volumen: 70 Páginas: 27-41 Número especial: SI
es_ES
Identifier
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10.1016/j.trc.2015.11.016
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/142979
Abstract
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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.