Target Off-Block Time (TOBT) plays a crucial role in Airport Collaborative Decision Making (A-CDM) as it serves as a key parameter for coordinating and optimizing airport operations. This research focuses on the importance of accurate estimations of TOBT in airport operations management. It highlights the challenges in predicting TOBT due to various factors such as passenger arrival times and ground handling processes. The complexity of these factors necessitates advanced tools capable of dynamically forecasting TOBT to enhance operational efficiency. The research involves a data-driven analysis to understand the primary causes of delays in TOBT. Through this analysis, the aim is to identify patterns and correlations among different variables influencing the accuracy of TOBT estimates. The ultimate goal of the research is to provide insights that could facilitate the development of improved prediction models for TOBT, enabling airports to better plan and manage turnaround processes. Enhanced accuracy in TOBT estimations can lead to smoother flight flow, reduced delays, and improved operational efficiency at airports. This research contributes to further optimizing airport operations and reducing the impact of delays on both airlines and passengers.
Reducing uncertainty for Flow Management of arriving traffic at Schiphol before departure.
Graduated: August 2024