Scipediacontent: Scipediacontent moved page Draft Content 103440287 to Timm-Giel et al 2016a

2021-02-08T09:02:00Z

Scipediacontent moved page Draft Content 103440287 to Timm-Giel et al 2016a

Scipediacontent: Created page with " == Abstract == Determining the amount of air traffic in an area can help to identify the traffic demands of current and future airborne communication systems. Many mobility..."

2021-02-08T09:01:57Z

Created page with " == Abstract == Determining the amount of air traffic in an area can help to identify the traffic demands of current and future airborne communication systems. Many mobility..."

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== Abstract ==

Determining the amount of air traffic in an area can help to identify the traffic demands of current and future airborne communication systems. Many mobility models for pedestrians and road vehicles exist, but hardly any for aircraft. Aircraft traces for three exemplary scenarios are analyzed to derive such a model with regard to traffic demand in a certain area, e.g. a cell. The number of aircraft inside the area is considered as state space of a Markov Process. For each state the arrival and departure process is fitted according to the hypothesis to follow a Poisson distribution. The goodness of fit is evaluated by Chi-Squared testing. Results considering all aircraft show predominant Poissonian behavior for areas with low aircraft density and little take-off and landing activities due to airports. In an urban area with high aircraft density and several airports the Chi-Squared Test often rejects the hypotheses. In a second step the problem was limited to only analyze transit traffic since take-off and landing seem to follow a different statistical behavior. The number of states where the Chi-Squared Test passes increases significantly for the scenarios with high aircraft densities. This work shows that aircraft arrivals and departures can be modeled as a Markov Process with state-dependent arrival and departure rates λ(i) and μ(i).

== Original document ==

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

* [http://xplorestaging.ieee.org/ielx7/7457736/7461453/07461449.pdf?arnumber=7461449 http://xplorestaging.ieee.org/ielx7/7457736/7461453/07461449.pdf?arnumber=7461449],
: [http://dx.doi.org/10.1109/wd.2016.7461449 http://dx.doi.org/10.1109/wd.2016.7461449]

* [https://ieeexplore.ieee.org/document/7461449 https://ieeexplore.ieee.org/document/7461449],
: [https://dblp.uni-trier.de/db/conf/wd/wd2016.html#PetersenMT16 https://dblp.uni-trier.de/db/conf/wd/wd2016.html#PetersenMT16],
: [https://doi.org/10.1109/WD.2016.7461449 https://doi.org/10.1109/WD.2016.7461449],
: [http://ieeexplore.ieee.org/document/7461449 http://ieeexplore.ieee.org/document/7461449],
: [https://tore.tuhh.de/handle/11420/2911 https://tore.tuhh.de/handle/11420/2911],
: [https://academic.microsoft.com/#/detail/2346465581 https://academic.microsoft.com/#/detail/2346465581]

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Timm-Giel et al 2016a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 103440287 to Timm-Giel et al 2016a

Scipediacontent: Created page with " == Abstract == Determining the amount of air traffic in an area can help to identify the traffic demands of current and future airborne communication systems. Many mobility..."