Estimating economic severity of Air Traffic Flow Management regulations

The development of trajectory-based operations and the rolling network plan in European air traffic management implies a move towards more collaborative, strategic flight planning. This opens up possibility for inclusion additional information collaborative decision-making process. With that mind, we define indicator economic risk elements (e.g., sectors or airports) as expected costs impose on airspace users due to Air Traffic Flow Management (ATFM) regulations. definition is based analysis historical ATFM regulations data, provides an indication accruing delay. delay translated into monetary users, creating new metric given element. We then use some machine learning techniques find parameters leading this risk. accompanied by accuracy cost prediction model. Lastly, transformed qualitative severity classification. risks consequently can be estimated different temporal horizons time periods providing which used Navigation Service Providers identify areas might need implementation measures resectorisation capacity provision change), Airspace Users consider operation routes specific regions.