Data-driven airport management enabled by operational milestones derived from ADS-B messages

Standardized, collaborative decision-making processes have already been implemented at some network-relevant airports, and these can be further enhanced through data-driven approaches (e.g., data analytics, predictions). New cost-effective implementations will also enable the appropriate integration of small medium-sized airports into aviation network. The required increasingly gathered processed by themselves. For example, Automatic Dependent Surveillance-Broadcast (ADS-B) messages are sent arriving departing aircraft a analysis movements, taking account local constraints weather or capacity). Analytical model-based that leverage offer deeper insights complex interdependent airport operations. This includes systematic monitoring relevant operational milestones as well corresponding predictive to estimate future system states. In fact, ADS-B receivers purchased, installed, maintained low cost, providing both very good coverage apron operations (runway, taxi system, parking positions) communication current performance network management. To prevent every from having develop its own we present basic concept with our approach. We demonstrate processing leads improved situational awareness. Our is aligned Eurocontrol’s Airport Collaborative Decision Making (A-CDM) framework. Therefore, analyze A-CDM London–Gatwick it allows us validate against implementation later stage. Finally, research, make decisive contribution open-data scientific community.