The primary concern of an air traffic controller is to ensure the safety and fluidity of ever-increasing air traffic. This requires effective training through practical work supervised by instructors. Based on certain rules called separation rules, the trainee must find a solution to a traffic configuration defined by flight plans (FPL) initially containing a number of conflicts. This solution will then be compared to the one proposed by the instructor. The purpose of this article is to replace the instructor with a Geographical Information System (GIS) solution combined with a genetic algorithm which, from a set of FPLs, will find the best solution to ensure on the one hand the safety of the aircraft but also minimizing the distance and the changes to be made. The application will use the GAMA platform, very suitable for this and a set of tests composed of actual exercises will be performed to validate the work.

空中交通管制员的主要关注点是确保不断增长的空中交通的安全性和流动性。这需要通过由讲师监督的实际工作进行有效培训。基于称为分离规则的某些规则，受训者必须找到由最初包含许多冲突的飞行计划 (FPL) 定义的交通配置的解决方案。然后将该解决方案与讲师提出的解决方案进行比较。本文的目的是用结合遗传算法的地理信息系统 (GIS) 解决方案代替教员，该解决方案从一组 FPL 中找到最佳解决方案，一方面确保飞机的安全，而且还最小化距离和要进行的更改。该应用程序将使用 GAMA 平台，