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

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.
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Chapitre d'ouvrage
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 〉
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https://hal-enac.archives-ouvertes.fr/hal-01403426
Contributeur : Laurence Porte <>
Soumis le : vendredi 25 novembre 2016 - 22:36:36
Dernière modification le : mardi 3 octobre 2017 - 22:02:27

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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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