A constraint programming model with time uncertainty for cooperative flight departures

[Display omitted] •New departure synchronization mechanism to reduce probability of ATC interventions.•Mitigation mechanism based on Constraint Programming.•Air space digitalization to support TBO.•Methodology considers the downstream effects of the applicable mitigation measures.•Demonstration of m...

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Vydané v:Transportation research. Part C, Emerging technologies Ročník 96; s. 170 - 191
Hlavní autori: Schefers, Nina, Ramos González, Juan José, Folch, Pau, Munoz-Gamarra, José Luis
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Elsevier Ltd 01.11.2018
Predmet:
Air Traffic Management
Air Transportation Planning
Artificial Intelligence
Conflict Detection and Resolution
Constraint Programming
Data Analysis
Decision Support Tool
Predictive Analysis
Reference Business Trajectories
System-level Simulation
Trajectory Based Operations
Trajectory Prediction
Uncertainties
SESAR
TTA
FL
CTOT
AU/AUs
Air Traffic Management
Predictive Analysis
CD&R
Trajectory Based Operations
Reference Business Trajectories
Uncertainties
ECAC
TBO
CSP
Trajectory Prediction
SDS
ATFM
DST
RBT
Artificial Intelligence
ATFCM
System-level Simulation
AI
TMA
Conflict Detection and Resolution
4D or 4DT
STAM
Constraint Programming
Air Transportation Planning
CP
FMS
SWIM
Decision Support Tool
ATC
SOCSP
Data Analysis
ATM
DA
DDR2
JJSP
NM
ISSN:0968-090X, 1879-2359
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Popis
Shrnutí:[Display omitted] •New departure synchronization mechanism to reduce probability of ATC interventions.•Mitigation mechanism based on Constraint Programming.•Air space digitalization to support TBO.•Methodology considers the downstream effects of the applicable mitigation measures.•Demonstration of methodology benefits in realistic traffic scenarios. The lack of a proper integration of strategic Air Traffic Management decision support tools with tactical Air Traffic Control interventions usually generates a negative impact on the Reference Business Trajectory adherence, and in consequence affects the potential of the Trajectory-Based Operations framework. In this paper, a new mechanism relaying on Reference Business Trajectories as a source of data to reduce the amount of Air Traffic Controller interventions at the tactical level while preserving Air Traffic Flow Management planned operations is presented. Artificial Intelligence can enable Constraint Programming as it is a powerful paradigm for solving complex, combinatorial search problems. The proposed methodology takes advantage of Constraint Programming and fosters adherence of Airspace User’s trajectory preferences by identifying tight interdependencies between trajectories and introducing a new mechanism to improve the aircraft separation at concurrence events considering time uncertainty. The underlying philosophy is to capitalize present degrees of freedom between layered Air Traffic Management planning tools, when sequencing departures at the airports by considering the benefits of small time stamp changes in the assigned Calculated Take-Off Time departures and to enhance Trajectory-Based Operations concepts.
ISSN:0968-090X
1879-2359
DOI:10.1016/j.trc.2018.09.013