Human-in-the-Loop Multi-agent Approach for Airport Taxiing Operations

François Lancelot (1, 2) , Mickael Causse (3) , Nicolas Schneider (4) , Marcel Mongeau (2)

1 Airbus Groups Innovations
2 MAIAA - ENAC - Laboratoire de Mathématiques Appliquées, Informatique et Automatique pour l'Aérien
3 DMIA - Département de Mathématiques, Informatique, Automatique
4 DAM/DIF - DAM Île-de-France

This paper describes a study to develop an intelligent air traffic ground control operation system that is able to integrate initiatives from both controllers and autonomous vehicles. We use a multi-agent approach to optimize dynamically a routing and scheduling task while taking into account real-time human suggestions. We expect that such mixed-initiative systems combined with autonomous vehicles will permit reduction of congestion and fuel consumption in large airports.

Mots clés: multi-agent; human-in-the-loop; taxiing optimization

Domaines: Mathématiques [math]

François Lancelot, Mickael Causse, Nicolas Schneider, Marcel Mongeau. Human-in-the-Loop Multi-agent Approach for Airport Taxiing Operations. Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability The PAAMS Collection, 372, Springer, pp 235-236, 2015, Advances in Intelligent Systems and Computing, 978-3-319-19628-2 ⟨10.1007/978-3-319-19629-9_29⟩. ⟨hal-01403426⟩