TY  - JOUR
PY  - 2016//
TI  - Model-based predictive control for bicycling in urban intersections
JO  - Transportation research part C: emerging technologies
A1  - Portilla, C.
A1  - Valencia, F.
A1  - Espinosa, J.
A1  - Nunez, A.
A1  - De Schutter, B.
SP  - 27
EP  - 41
VL  - 70
IS  - 
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.<p />  <p>Language: en</p>
LA  - en
SN  - 0968-090X
UR  - http://dx.doi.org/10.1016/j.trc.2015.11.016
ID  - ref1
ER  -