
handle: 10447/202006
Starting from traffic data on flights trajectories-planned and actual ones-in Europe, we build a navigation point network. We study this network which exhibits different features for different European countries. In particular, some countries uses a high number of navpoints, facilitating the planning of the flight plan by air companies at the cost of higher concentrations of traffic in few nodes. Making use of the deviations from the planned trajectories, we find that once again different countries have different control procedures with respect to traffic management. Interestingly, we find that some countries tend to make more deviations when the traffic conditions are low. Moreover, they tend to concentrate the deviations in a few number of nodes, especially during daytime. Finally, the position of these key navigation points are sometimes stable over the days, which shows a consistent use of some navpoint for the same kind of rerouting operations.
Navigation point network; Network science; Statistical model; Traffic flow management; Computer Science Applications1707 Computer Vision and Pattern Recognition; Aerospace Engineering; Control and Systems Engineering; Geography, Planning and Development; Transportation; Communication, Navigation point network, Planning and Development, Geography, Communication, Network science, Aerospace Engineering, Computer Science Applications1707 Computer Vision and Pattern Recognition, Transportation, Settore FIS/07 - Fisica Applicata(Beni Culturali, Ambientali, Biol.e Medicin), Control and Systems Engineering, Traffic flow management, Statistical model
Navigation point network; Network science; Statistical model; Traffic flow management; Computer Science Applications1707 Computer Vision and Pattern Recognition; Aerospace Engineering; Control and Systems Engineering; Geography, Planning and Development; Transportation; Communication, Navigation point network, Planning and Development, Geography, Communication, Network science, Aerospace Engineering, Computer Science Applications1707 Computer Vision and Pattern Recognition, Transportation, Settore FIS/07 - Fisica Applicata(Beni Culturali, Ambientali, Biol.e Medicin), Control and Systems Engineering, Traffic flow management, Statistical model
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
