Abstract
The article describes the proposed methodology for performance evaluation of Pre-Departure Sequencing tools. Pre-departure management delivers optimal traffic flow to the runway by route planning and accurate taxi time forecasts. Firstly, a Pre-Departure Sequencer Start-Up Manager (SUM) used by Air Navigation Services of the Czech Republic (ANS CZ) at Vaclav Havel Airport Prague (LKPR) is mentioned. The main parts deal with the proposed methodology for performance evaluation of Start-Up Manager. The methodology uses several indicators to evaluate the performance. The methodology utilizes time milestones introduced in Airport Collaborative Decision Making (A-CDM) concept. It focuses especially on aircraft pre-departure sequencing processes. Methodology was tested on the Start-Up Manager used by Air Navigation Services (ANS) of the Czech Republic at Vaclav Havel Airport Prague (LKPR). Achieved performance results and its credibility in accordance with the proposed methodology are presented and discussed in the final part of this paper.
Highlights
Poor operational predictability in comparison to en-route phase is the main problem of airports [1]
Improving predictability at aerodromes has been a task for air traffic management provided in Europe by Network Manager Operation Center (NMOC)
ATC determines the optimum time of start-up or pushback, i.e. Target Start-Up Approval Time (TSAT) using StartUp Manager software tool so that the aircraft taxies to the RWY holding point continuously and takes-off with a minimal delay
Summary
Poor operational predictability in comparison to en-route phase is the main problem of airports [1]. Without going into further details the main goal of NMOC is a smooth flow of air traffic, delay reduction, managing the capacity of European airspace and cost reduction. To tackle this issue Airport Collaborative Decision Making (A-CDM) concept has been introduced. Considering more data when making a decision may increase the workload of a controller, it is desirable to use software tools for processing A-CDM data and calculating outputs These tools such as Departure Manager (DMAN), Arrival Manager (AMAN), and Pre-Departure Sequencer (PDS) can assess current situation from several perspectives and they are capable of finding more effective solutions [2]
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