Scenario-Free Sequential Decision Model for the Single Airport Ground Holding Problem

This paper aims to advance the support of decision-making in air traffic flow management under uncertainty with a focus on the single airport ground holding problem (SAGHP). Learning from the shortcomings of the scenario-based models for SAGHP, which address uncertainty using probabilistic capacity scenarios, the paper develops a sequential decision model that is not limited by a small set of scenarios. The paper presents computational strategies and demonstrates the computational feasibility of the model.