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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
Abstract : 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.
Keywords : multi-agent human-in-the-loop taxiing optimization
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https://hal-enac.archives-ouvertes.fr/hal-01403426
Contributor : Laurence Porte <>
Submitted on : Friday, November 25, 2016 - 10:36:36 PM
Last modification on : Tuesday, October 20, 2020 - 10:32:05 AM

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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, 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⟩

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