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.
CITATION STYLE
Lancelot, F., Causse, M., Schneider, N., & Mongeau, M. (2015). Human-in-the-loop multi-agent approach for airport taxiing operations. In Advances in Intelligent Systems and Computing (Vol. 372, pp. 235–236). Springer Verlag. https://doi.org/10.1007/978-3-319-19629-9_29
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