Model-based predictive control for bicycling in urban intersections

Model-based predictive control for bicycling in urban intersections

Portilla, C (Universidad Nacional de Colombia)
Valencia, F (Universidad Nacional de Colombia; Universidad de Chile)
Espinosa, J (Universidad Nacional de Colombia)
Nunez, Alfredo (TU Delft Railway Engineering)
De Schutter, B.H.K. (TU Delft Team Bart De Schutter)

2016

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.

Bicycle traffic model
multi-modal traffic control
model predictive control

http://resolver.tudelft.nl/uuid:f414a166-7f8c-4bc5-8ae5-c76497efe6cd

https://doi.org/10.1016/j.trc.2015.11.016

2019-10-24

0968-090X

Transportation Research. Part C: Emerging Technologies, 70, 27-41

Accepted Author Manuscript

Institutional Repository

journal article

© 2016 C Portilla, F Valencia, J Espinosa, Alfredo Nunez, B.H.K. De Schutter