Application of Control Barrier Functions to Collision Free Model Predictive Control: Robust UAV Trajectories with MPC-CBF and Euclidean Signed Distance Fields

Recent literature in real-time trajectory planning has proposed using Control Barrier Functions (CBFs) as collision constraints in Model Predictive Control (MPC) for efficient guidance, a concept referred to as MPC-CBF. This concept has been explored for both first and second-order CBFs. However, these approaches relied on an analytical...

Equity in traffic light control: Identifying- and measuring equity traffic light control. A case study to improve equity at the intersection A050 in Deventer for intelligent Traffic Light Controller: Flowtack

A new generation of intelligent Traffic Light Controllers uses Model Predictive Control to minimise delay at signalised intersections. The conventional cycle of set sequences of green phases is dropped for optimisation purposes. This research uses the ethical theories utilitarianism, egalitarianism, sufficientarianism & deontology to define...

An Exploration of Integrated Bi-level Local and Global Model Predictive Control for Air Traffic Control Applications

A hierarchical bi-level model predictive controller is proposed in this thesis to reduce the computational complexity of controlling a large scale air traffic control problem, using a model predictive control approach. The bi-level controller developed and tested in this research project is a combination of a global, long-term, slow-rate,...

Real-time receding horizon trajectory generation for long heavy vehicle combinations on highways

The so-called A-double long heavy vehicle combination is a 32 meter long and up to 80 tonnes heavy double-trailer truck widely used in Canada and Australia today, and will be more abundant on the road also in Europe in the near future. They have the potential to decrease road transport cost, traffic congestion and generate lower emissions than...