TV Entry

	Function		Traffic Volume Entry
	Description		This tool permits the user to monitor the actual versus planned differences with respect to flights entering a Traffic Volume, in a given time period (defaulting to [-2h, 1h] ).
	Access		Workspace > KPIs > TV Entry
	Input		TV		Traffic Volume Identifier to monitor for adherence
			Mode		Variability or Delay
					Many of the KPI tools offer a mode parameter - which can take a value of either VARIABILITY or DELAY. The difference between these 2 values is best explained through an example. Consider, 2 flights – one arriving 5 minutes early and one arriving 5 minutes late. When computing an “arrival KPI” we could either say – • On average, the delay was zero ( (-5 + 5) / 2) • On average, the variability was 5 minutes (i.e. ( |-5| + |5|) / 2) In other words, variability determines the average error in terms of magnitude, ignoring if values are actually –five and +five. Delay on the other hand, does care about the sign of values (-five or +five).
			Past (In min)		With reference to [Go] how may minutes to look in the past
			Future (In min)		With reference to [Go] how may minutes to look forward
			Auto Refresh		never, every 30s, min, 2 min, 3 min, 4 min, 5 min
			Limit Delta Times		The user may specify that “extreme” cases be ignored (for example, in the screen shot below, one flight is arriving 70+ minutes late in the sector. If this is considered totally abnormal, the user may limit the delta times to e.g. [-30, +40 min], causing flights outside of this zone to be filtered out from the graphs, and excluded from the statistics)
			Graph Filter		Select the source of the traffic: • ALL: All flights, regulated or not • REGULATED: flights subject to a CASA or STAM regulation • NON-REGULATED: flights not subject to a CASA or STAM regulation
			Ignore Zero Dely Flts		When chosing for monitoring regulated flights you may want to ignore variability of the zero delay flights
	Output		The tool will perform a B2B query, obtaining the flights entering a traffic volume, and comparing the load with the demand, indicate the variation in time of entry and the variation in level so we can see how well the flights adhere to their flight plan. The average deviation is indicated in the gauges for the entry time variation. The graph also is split in two between the flights in the past (entered) and in the future (not yet entered).
					The tool displays average (DELAY or VARIABILITY) data in a set of gauges –    • ATO – ETO (Past) For entered non-regulated flights, determine the average entry ‘imprecision’    • ATO – CTO (Past) For entered regulated flights, determine the average entry ‘imprecision’    • ATO – ETO (Future) For later entering non-regulated flights, determine the average entry ‘imprecision’    • ATO – CTO (Future) For later entering regulated flights, determine the average entry ‘imprecision’ The tool also shows, flight by flight, the entry ‘imprecision’, both in terms of FL and time. The colour coding for each flight is –    • Blue – non-regulated flights    • Magenta  - regulated flights with zero delay    • Red – regulated flights with delay. Clicking on a ‘dot’ provides summary flight information. The scatter graph may also be zoomed (via the mouse wheel) or panned (via click and drag).