Traffic analysis and synthetic scenario generation for ATM operational concepts evaluation

Besada, Juan A.; Portillo, Javier; Miguel, Gonzalo de; Andrea, Rafael de; Canino, Jose M.

doi:10.1109/dasc.2009.5347557

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2010

2015

Publication Types

Select...

Article1

Other1

Relationship

Self Cite1

Independent1

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this project a simulation facility similar to TARGETS, 8 ' 10 using BADA 23 prediction models, was developed for the study and validation of terminal area ATM concepts and automation. 24 Based on our previous work, 25 this paper includes a detailed description of the simulation system approach, the HMI and examples of the obtained results.…”

Section: Introductionmentioning

confidence: 99%

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

Besada

Marquínez

Portillo

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part G:

Self Cite

View full text Add to dashboard Cite

This paper describes two systems that can be used to obtain realistic random traffic samples in a terminal area: a real traffic analyser and a synthetic traffic generator. These two systems allow the air traffic management (ATM) engineer to gain insight on the traffic structure of the area under analysis, and allow obtaining realistic traffic samples enabling the evaluation of new operational concepts, the validation or system performance measurement after procedure changes, the analysis of ATM performance under forecasted future traffic changes, etc. Together with the design of the system, the work provides insight of user interfaces and describes the potential uses of such tools in an integrated ATM system.

show abstract

Section: Introductionmentioning

confidence: 99%