Development of Agent-based Air Traffic Control Logic For Airport Airside Simulation Model

Air Traffic Control is a key element of Air Traffic Management that ensures safe and efficient operations in airspace and airports. This paper presents a study on the development and implementation of Air Traffic Control logic in an airport airside simulation model. This research focuses on the identification and resolution of potential aircraft conflicts within the airport movement area and uses an agent-based modelling approach to address these challenges. The agent-based approach facilitates the modelling of complex interactions between different entities, allowing for a detailed investigation of airport traffic dynamics and potential improvements. The study includes the identifi-cation of conflict areas in airport infrastructure, the creation of a fictional airport movement area, and the development and integration of control logic to resolve conflicts during simulation runs of the designed simulation scenarios. The results of the sim-ulations provide valuable insights into the impact of traffic volume, the use of bidirectional taxiway segments, and bay operations on the total time spent by aircraft in the infrastructure, the average number of clearances issued for particular aircraft, or the number of clearances required to traverse the created infrastructure.