Model-based predictive control for bicycling in urban intersections

C Portilla, F Valencia, J Espinosa, Alfredo Nunez Vicencio, Bart De Schutter

Research output: Contribution to journalArticleScientificpeer-review

21 Citations (Scopus)
36 Downloads (Pure)


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.
Original languageEnglish
Pages (from-to)27-41
JournalTransportation Research. Part C: Emerging Technologies
Publication statusPublished - 2016

Bibliographical note

Accepted Author Manuscript


  • Bicycle traffic model
  • multi-modal traffic control
  • model predictive control


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