P9. Second generation agent-based modelling for improving APOC operations

4 – Novel and more effective allocation markets in ATM

The main objective of this work is to create a Decision Support Tool to help the Airport Operation Centre with the integration of different approaches at the macroscopic level to make better decisions to minimize airport congestion by mitigating conflicts of critical resources. The main conflicts are related to different processes of the airport management and the capacity, so, the main problems are related to the minimum separation, runway, taxiway, terminal, gates, and ground handling team capacity (overloads) and availability.

We propose a framework as part of the Decision Support Tool to solve the conflicts addressed, we adapted an optimization with simulated annealing heuristic combined with a time decomposition approach (sliding windows).

As part of the solution, we evaluate the performance of the different modules and how the number of conflicts is solved, the final objective is to improve the coordination and efficiency of the operations of an airport. To validate the optimization model and to show the benefits of the macroscopic decomposition approach different computational experiments were performed with real data of one day of operations from Paris Charles de Gaulle airport including the parameters of this airport.