Multi-objective 4D Trajectory Optimization for Online Strategic and Tactical Air Traffic Management

This paper presents models and algorithms for real-time 4-Dimensional Flight Trajectory (4DT) operations in the next generation Communications, Navigation, Surveillance/Air Traffic Management (CNS/ATM) systems. In particular, the models are employed for multi-objective optimisation of 4DT intents in ground-based 4DT Planning, Negotiation and Validation (4-PNV) systems and in airborne Next Generation Flight Management Systems (NG-FMS). The assumed timeframe convention for offline and online air traffic operations is introduced and discussed. The adopted formulation of the multi-objective 4DT optimisation problem includes a number of environmental objectives and operational constraints. In particular, the paper describes a real-time multi-objective optimisation algorithm and the generalised expression of cost function adopted for penalties associated with specific airspace volumes, accounting for weather models, condensation trails models and noise models.

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Optimization Model of Airplane Data Communication Network for Air Traffic Management

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.505-506.1084 ◽

2014 ◽

Vol 505-506 ◽

pp. 1084-1088

Author(s):

Xiao Hui Zhu ◽

Zhi Kun Tang

Keyword(s):

Communication Network ◽

Optimization Model ◽

Traffic Management ◽

Data Communication ◽

Air Traffic Management ◽

Air Traffic ◽

Multi Objective ◽

Resolution Model ◽

Communication Network Design ◽

Data Communication Network

Aiming to better network facility deployment and reduce cost, this paper proposed an optimization model for air traffic management airplane data communication network based on multi-objective nonlinear programming to optimize the communication network trunk node and analyze user subnetwork access. Using multi-objective decomposition method, a computer-aided resolution model is presented and then simulations proved its effectiveness. This model has theoretical instruction on air traffic management plane data communication network design, and can offer reference for relate studies.

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Multiobjective 4D Trajectory Optimization for Integrated Avionics and Air Traffic Management Systems

IEEE Transactions on Aerospace and Electronic Systems ◽

10.1109/taes.2018.2849238 ◽

2019 ◽

Vol 55 (1) ◽

pp. 170-181 ◽

Cited By ~ 8

Author(s):

Alessandro Gardi ◽

Roberto Sabatini ◽

Trevor Kistan

Keyword(s):

Traffic Management ◽

Trajectory Optimization ◽

Air Traffic Management ◽

Air Traffic ◽

Management Systems

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Safety Culture and Safety-Relevant Behavior in Air Traffic Management

Aviation Psychology and Applied Human Factors ◽

10.1027/2192-0923/a000068 ◽

2015 ◽

Vol 5 (1) ◽

pp. 3-17 ◽

Cited By ~ 5

Author(s):

Michaela Schwarz ◽

K. Wolfgang Kallus

Keyword(s):

Safety Culture ◽

Traffic Management ◽

Service Providers ◽

Five Factor Model ◽

Principal Component ◽

Air Traffic Management ◽

Air Traffic ◽

Psychometric Validation ◽

Safety Attitudes ◽

Culture Development

Since 2010, air navigation service providers have been mandated to implement a positive and proactive safety culture based on shared beliefs, assumptions, and values regarding safety. This mandate raised the need to develop and validate a concept and tools to assess the level of safety culture in organizations. An initial set of 40 safety culture questions based on eight themes underwent psychometric validation. Principal component analysis was applied to data from 282 air traffic management staff, producing a five-factor model of informed culture, reporting and learning culture, just culture, and flexible culture, as well as management’s safety attitudes. This five-factor solution was validated across two different occupational groups and assessment dates (construct validity). Criterion validity was partly achieved by predicting safety-relevant behavior on the job through three out of five safety culture scores. Results indicated a nonlinear relationship with safety culture scales. Overall the proposed concept proved reliable and valid with respect to safety culture development, providing a robust foundation for managers, safety experts, and operational and safety researchers to measure and further improve the level of safety culture within the air traffic management context.

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