Scipediacontent: Scipediacontent moved page Draft Content 686160315 to Eerland et al 2017a

2021-01-28T22:00:00Z

Scipediacontent moved page Draft Content 686160315 to Eerland et al 2017a

Scipediacontent: Created page with " == Abstract == Technological developments in the last decade have shifted challenges in traffic flow management from obtaining and storing data, to analysing and presenting..."

2021-01-28T21:59:55Z

Created page with " == Abstract == Technological developments in the last decade have shifted challenges in traffic flow management from obtaining and storing data, to analysing and presenting..."

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== Abstract ==

Technological developments in the last decade have shifted challenges in traffic flow management from obtaining and storing data, to analysing and presenting the enormous amount of available trajectory data in a comprehensible manner. This paper introduces a novel approach to visualising air-traffic, shifting the focus from displaying traffic density, towards directly visualising the flight corridors used by air-traffic. Such an approach is suitable for visualising air-traffic in three dimensions, which is particularly helpful in the vicinity of an airport where the air-traffic often changes level. Furthermore, the approach is data-driven, allowing the comparison of multiple trajectory datasets in order to identify changes in traffic corridors related to changing air-traffic and weather conditions. Finally, by using the probabilistic nature of the approach, it is possible to quantify the air-traffic complexity in terms of the traffic structure. The results presented in this paper show the approach applied to a trajectory dataset as measured by ground-radar near Denver airport (DEN).

== Original document ==

The different versions of the original document can be found in:

* [http://dx.doi.org/10.2514/6.2017-4264 http://dx.doi.org/10.2514/6.2017-4264]

* [https://eprints.soton.ac.uk/408419 https://eprints.soton.ac.uk/408419]

* [https://eprints.soton.ac.uk/408419/2/paper.pdf https://eprints.soton.ac.uk/408419/2/paper.pdf]

* [https://arc.aiaa.org/doi/pdf/10.2514/6.2017-4264 https://arc.aiaa.org/doi/pdf/10.2514/6.2017-4264],
: [http://dx.doi.org/10.2514/6.2017-4264 http://dx.doi.org/10.2514/6.2017-4264]

* [https://eprints.soton.ac.uk/408419 https://eprints.soton.ac.uk/408419],
: [https://arc.aiaa.org/doi/10.2514/6.2017-4264 https://arc.aiaa.org/doi/10.2514/6.2017-4264],
: [https://academic.microsoft.com/#/detail/2616738555 https://academic.microsoft.com/#/detail/2616738555]

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Eerland et al 2017a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 686160315 to Eerland et al 2017a

Scipediacontent: Created page with " == Abstract == Technological developments in the last decade have shifted challenges in traffic flow management from obtaining and storing data, to analysing and presenting..."