Aviation demand has been growing steadily for many years, but airport infrastructure capacity cannot keep pace. We have recently seen new expansion projects at Europe's main airports to increase their capacity and maintain an excellent level of service. For Barcelona to maintain the level of major European airports such as Heathrow, Paris Charles de Gaulle, Amsterdam Schiphol and others, it is not enough to simply improve the infrastructure, but the operations are even more important. This improvement can be made using the latest technologies (automation, artificial intelligence,...). The purpose of this work is to implement a simulator that automates the functions of a ground controller. These functions are to guide and avoid conflicts between the gate and runways and vice versa. At the same time, by using this simulator, human errors will disappear and taxiing time will be optimised. To carry out this work, a simulator was created from scratch using a known scenario such as Barcelona - El Prat airport and data obtained from websites such as FlightRadar24 or FlightStats. During the simulations, the code was modified each time an aircraft did not perform the desired movement, and then simulated again. Once the 24 hours of movement data had elapsed, a series of variables allowed us to analyse the behaviour of the simulator. Finally, it can be said that the programme does not generate delay, and that it substantially improves airport operations by minimising queues before the runway. It is also true that it does not produce the same improvement in departures as in arrivals. This simulator is a first step towards the automation of air traffic controllers' functions, demonstrating that it has both economic and operational benefits
