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.
|Journal||Transportation Research. Part C: Emerging Technologies|
|Publication status||Published - 2016|
- Bicycle traffic model
- multi-modal traffic control
- model predictive control
Portilla, C., Valencia, F., Espinosa, J., Nunez Vicencio, A., & De Schutter, B. (2016). Model-based predictive control for bicycling in urban intersections. Transportation Research. Part C: Emerging Technologies, 70, 27-41. https://doi.org/10.1016/j.trc.2015.11.016