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From A-CDM to Collaborative Airport Planning

Airport IT 2015 – Barcelona
Dr. Moritz Strasser

ATRiCS - The PDS-Company
operating experience of more than 2 Mio. sequenced flights

Multi - Resource Sequencing
The Runway is not the only bottleneck

What-If …
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Potential Impact of Data Variance on the Prediction of Key Performance Indicators (KPI) as a Decision Variable for Airport Pretactical Decision Making within a Total Airport Management (TAM) Airport Operations Center (APOC)

EIWAC 2010; ENRI Int. Workshop on ATM/CNS. Tokyo, Japan.
F. Piekert, Dr. M. Strasser
a performance based and holistic airport management approach to enable the future Air Traffic Management System as proposed by SESAR. The importance of Key Performance Areas and Indicators and their inclusion into the Total Airport Management planning philosophy are explained, leading to a correlation with the key element Airport Operations Plan. The basic and principle assumption of being able to adjust traffic patterns or individual events at and around an airport before the event occurs is mirrored against the feasibility the proposed technical enabler offers and its importance to enable control functions in the Airport Operations Center. Taking the Airport Collaborative Decision Making concept element Variable Taxi Time Calculation as a technical example, the feasibility of the control window concept will be discussed. Judging from the discussion’s outcome the areas of application of the control window concept will be sketched and the open issues that need further research described.
Keywords: TAM, APOC, VTTC, AMAN, DMAN, SMAN, KPA, KPI, TOP, TAPAS, holistic, hierarchy, management, airport, stakeholder, agent, ATC, airlines, prediction, compliance, variability, adherence, variance