Model-based predictive control for bicycling in urban intersections

Journal article (2016)

Authors

C Portilla Universidad Nacional de Colombia
F Valencia Universidad Nacional de Colombia, Universidad de Chile
J Espinosa Universidad Nacional de Colombia
Alfredo Nunez Railway Engineering - CEG
B.H.K. De Schutter Team Bart De Schutter - Mechanical, Maritime and Materials Engineering
Research Group
Railway Engineering (CEG) (TU Delft)
Copyright: © 2016 C Portilla, F Valencia, J Espinosa, Alfredo Nunez, B.H.K. De Schutter
DOI
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https://doi.org/10.1016/j.trc.2015.11.016
Model predictive control Bicycle traffic model Multi-modal traffic control
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Published Date

2016

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Engineering Structures

Research Group

Railway Engineering

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.