Fast-time demand-capacity balancing optimizer for collaborative air traffic flow management
This paper builds on top of a collaborative ATFM framework previously published, which demonstrated a potential in significant pre-tactical system delay reduction over the current European ATFM practices. In this paper, we aim to raise the technology readiness level (TRL) of the original works, focu...
| Autores: | , , |
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| Formato: | artículo |
| Fecha de publicación: | 2021 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/357988 |
| Acesso em linha: | https://hdl.handle.net/2117/357988 https://dx.doi.org/10.2514/1.I010948 |
| Access Level: | acceso abierto |
| Palavra-chave: | Air traffic control Demand capacity balancing Dantzig-Wolfe decomposition Air traffic flow management Trànsit aeri--Control Àrees temàtiques de la UPC::Aeronàutica i espai::Navegació aèria |
| Resumo: | This paper builds on top of a collaborative ATFM framework previously published, which demonstrated a potential in significant pre-tactical system delay reduction over the current European ATFM practices. In this paper, we aim to raise the technology readiness level (TRL) of the original works, focusing on improving the tractability of its DCB optimizer. To this end, we apply a Dantzig-Wolfe (DW) decomposition approach and use high performance computing (HPC) techniques to attempt the solution in a short time. The main contribution of this paper is to mitigate the computational burden faced by previous approaches, which will make all the contributions demonstrated therein more operationally feasible. |
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