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dc.contributor.authorXu, Yan
dc.contributor.authorDalmau Codina, Ramon
dc.contributor.authorMelgosa Farrés, Marc
dc.contributor.authorVillardi de Montlaur, Adeline de
dc.contributor.authorPrats Menéndez, Xavier
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Ciència i Tecnologia Aeroespacials
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Física
dc.date.accessioned2020-04-15T11:04:24Z
dc.date.available2022-03-03T01:25:37Z
dc.date.issued2020-03-03
dc.identifier.citationXu, Y. [et al.]. A framework for collaborative air traffic flow management minimizing costs for airspace users: Enabling trajectory options and flexible pre-tactical delay management. "Transportation research. Part B: methodological", 3 Març 2020, vol. 134, p. 229-255.
dc.identifier.issn0191-2615
dc.identifier.urihttp://hdl.handle.net/2117/183447
dc.description.abstractThis paper proposes a collaborative air traffic flow management (ATFM) framework, in the scope of trajectory based operations, aiming to improve the cost-efficiency for airspace users (AUs) when facing ATFM regulations. The framework consists of four modules. The first one involves the AUs initially scheduling their preferred trajectories for all their flights. Based on this initial demand, the second module (assumed to be on the Network Manager -NM- side) detects time-varying hotspots (i.e. overloaded sectors along the day). In the third module, hotspot information is shared back to the AUs who plan alternative trajectory options to avoid crossing these congested airspace volumes (in the lateral and vertical domain); as well as providing to the NM different pre-tactical delay management preferences (including ground holding, linear holding, air holding and pre-tactical delay recovery); based on their internal cost breakdown structures. Incorporating all these potential combined options, the last module computes the best trajectory selections and the optimal distribution of delay assignments, such that the cost deviation from the initial status (all the user-preferred trajectories) is minimized. This model is formulated as mixed integer linear programming (MILP) and validated by a real-world case study focused on 24 h of traffic over the French airspace. Results using the proposed framework suggest a significant system delay reduction by nearly 97% over the existing method, whilst yielding an average of less than 100 kg extra fuel consumption and 50 Euro extra route charges for the 11% flights diverted to their alternative trajectories.
dc.format.extent27 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Aeronàutica i espai
dc.subject.lcshTrajectory optimization
dc.subject.lcshAir traffic control
dc.subject.lcshDecision-making
dc.subject.otherAir traffic flow management
dc.subject.otherTrajectory based operations
dc.subject.otherDemand and capacity balancing
dc.subject.otherCollaborative decision-making
dc.subject.otherTrajectory options
dc.titleA framework for collaborative air traffic flow management minimizing costs for airspace users: Enabling trajectory options and flexible pre-tactical delay management
dc.typeArticle
dc.subject.lemacOptimització de trajectòria
dc.subject.lemacTrànsit aeri -- Control
dc.subject.lemacDecisió, Presa de
dc.contributor.groupUniversitat Politècnica de Catalunya. ICARUS - Intelligent Communications and Avionics for Robust Unmanned Aerial Systems
dc.contributor.groupUniversitat Politècnica de Catalunya. LACÀN - Mètodes Numèrics en Ciències Aplicades i Enginyeria
dc.identifier.doi10.1016/j.trb.2020.02.012
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.sciencedirect.com
dc.rights.accessOpen Access
local.identifier.drac27268649
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/699338/EU/Assessment of Performance in current ATM operations and of new Concepts of operations for its Holistic Enhancement/APACHE
local.citation.authorXu, Y.; Dalmau, R.; Melgosa, M.; Montlaur, A.; Prats, X.
local.citation.publicationNameTransportation research. Part B: methodological
local.citation.volume134
local.citation.startingPage229
local.citation.endingPage255


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