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

François Lancelot; Mickael Causse; Nicolas Schneider; Marcel Mongeau

doi:10.1007/978-3-319-19629-9_29

Chapitre d'ouvrage

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

Type de document :

Chapitre d'ouvrage

Domaine :

Mathématiques [math]

Liste complète des métadonnées

https://hal-enac.archives-ouvertes.fr/hal-01403426
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Soumis le : vendredi 25 novembre 2016 - 22:36:36
Dernière modification le : mardi 19 octobre 2021 - 11:02:48

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

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