Dynamic Target Time Management with Reinforcement Learning: A case study on Zurich short-haul regulated arrivals

This Master Thesis investigates the possible improvements to the Target Time Management concept to optimize the arrival flows for SWISS International Airlines. The aim is to improve operational performance based on the current model used, as well as prove that Target Time Management constitutes a valuable system to improve operations in a...