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

Abstract

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

Original document

The different versions of the original document can be found in:

• https://hal-enac.archives-ouvertes.fr/hal-01403426

• https://oatao.univ-toulouse.fr/16194

• http://link.springer.com/content/pdf/10.1007/978-3-319-19629-9_29,

http://dx.doi.org/10.1007/978-3-319-19629-9_29 under the license http://www.springer.com/tdm

• https://link.springer.com/chapter/10.1007/978-3-319-19629-9_29,

https://core.ac.uk/display/78385803,

https://oatao.univ-toulouse.fr/16194,

https://hal-enac.archives-ouvertes.fr/hal-01403426,

https://dblp.uni-trier.de/db/conf/paams/paams2015s.html#LancelotCSM15,

https://academic.microsoft.com/#/detail/2270534384