@article{ref1,
title="Model-based predictive control for bicycling in urban intersections",
journal="Transportation research part C: emerging technologies",
year="2016",
author="Portilla, C. and Valencia, F. and Espinosa, J. and Nunez, A. and De Schutter, B.",
volume="70",
number="",
pages="27-41",
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.<p /> <p>Language: en</p>",
language="en",
issn="0968-090X",
doi="10.1016/j.trc.2015.11.016",
url="http://dx.doi.org/10.1016/j.trc.2015.11.016"
}