Random Air Traffic Generation for Computer Models

Methods of generating random air traffic are described for two- and three-dimensional computer models used in a study of the problem of managing off-route traffic. Edge effects which influence the estimation of conflicts taking place near the boundaries of such models are explained and quantified.The applications of computer models in air traffic management studies are many and varied. References 1 and 2 describe some of these for which the appropriate model required the generation of randomly distributed aircraft following straight-line flight paths at constant speeds. Such behaviour can be a plausible representation of that of off-route air traffic for many purposes and the main objective of this paper is to describe methods for generating random traffic of this nature, that is traffic outside airways, terminal control areas and aerodrome control zones.

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Development of Hybrid Simulation Model of Air Traffic Management in the Terminal Control Area

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/645/1/012003 ◽

2019 ◽

Vol 645 ◽

pp. 012003

Author(s):

R Medianto ◽

H M Pasaribu ◽

H Muhammad

Keyword(s):

Simulation Model ◽

Traffic Management ◽

Hybrid Simulation ◽

Air Traffic Management ◽

Control Area ◽

Air Traffic ◽

Terminal Control

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Air traffic generation for new terminal area air traffic management concepts design and evaluation

Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering ◽

10.1177/0954410015613114 ◽

2015 ◽

Vol 230 (9) ◽

pp. 1721-1732 ◽

Cited By ~ 1

Author(s):

Juan Besada ◽

Iñigo Marquinez ◽

Javier Portillo ◽

Gonzalo de Miguel ◽

Ana Bernardos

Keyword(s):

Traffic Management ◽

Air Traffic Management ◽

Air Traffic ◽

Management Concepts ◽

Traffic Generation ◽

Terminal Area

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Automation in Air Traffic Management

Journal of Navigation ◽

10.1017/s0373463300032768 ◽

1985 ◽

Vol 38 (3) ◽

pp. 405-412

Author(s):

S. Ratcliffe

Keyword(s):

Traffic Flow ◽

Traffic Management ◽

Large Scale ◽

Computer Models ◽

Air Traffic Management ◽

Air Traffic ◽

Decision Processes ◽

Flight Plan ◽

Management Processes ◽

Term Management

By Air Traffic Management or ATM is meant the totality of the processes used, in the air and on the ground, to ensure safe and expeditious movement of all air traffic using controlled airspace. Computers are used on a large scale to support human planners in the management processes. Flight management computers in the aircraft, together with radar and flight-plan data processors on the ground, are conspicuous examples. Decision processes remain tasks for human controllers, although off-line computer models of traffic flow provide a background for the longer-term management decisions.

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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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