Agent-based modeling to support collaborative decision making in predictable airport ground operations

Inside the complex air traffic network, delay occurring at the aircraft stand and related ground processes has the potential to propagate and so increase. This “butterfly effect” typically has a significant negative impact on the downstream flights and airports. Efficient aircraft ground operations can help stabilize the in- and outbound aircraft operations and, in some cases, reduce knock-on effects. Reliably forecasting possible bottlenecks at a dedicated airport and its management is key to optimally using resources and applying appropriate strategies. In this research, we implement the digital twin of a selected airport section, Pier H of Amsterdam Schiphol airport, to simulate the aircraft ground operations throughout the course of a single day using an agent-based model. The agents’ behavior representing various ground handling operators is considered for an optimized collaborative decision making process. The consequences derived from operational needs will be demonstrated, and the remedies to reduce operational stress will be put to the test. The findings and lessons offer the possibilities for predictable airport ground operations, both in terms of strategic and tactical planning as well as operations.