Modelling and Simulation of APOC Operations

Sashiko Shirai Reyna (1) , Miguel Antonio Mujica Mota (1) , Daniel Delahaye (2) , José Manuel Ortiz Castro (3)

1 UvA - University of Amsterdam [Amsterdam] = Universiteit van Amsterdam
2 ENAC - Ecole Nationale de l'Aviation Civile
3 Middlesex University [London]

This work aims at developing an agent-based platform that allows to model and analyze decisions made by different stakeholders in an Airport Operations Centre. We will develop a methodology combining agent-based modelling and field/lab behavioral experiments for identifying the incentives behind the decisions of the stakeholders in an Airport Operations Centre environment. Once, the causal relationships have been identified, these will be translated into an agent-based environment so, it will be possible to have a virtual environment for identifying which incentives are the best for aligning the objectives of the center, considering the diversity of objectives present in the system. The causal-relationships identified in the study will be validated with a human-in-the-loop environment already developed under the SESAR program. This study is an interdisciplinary one which integrates simulation, decision making and behavioral science in the airport operations center environment.

Mots clés: airport operation; economical behavior; ATM; simulation

Domaines: Optimisation et contrôle [math.OC]

Sashiko Shirai Reyna, Miguel Antonio Mujica Mota, Daniel Delahaye, José Manuel Ortiz Castro. Modelling and Simulation of APOC Operations. ICRAT 2020, 9th International Conference for Research in Air Transportation, Jun 2020, Tampa, United States. ⟨hal-02873356⟩