Establishing the Correlation Between Complexity and Performance for Arrival Operations

Air traffic complexity indicators play an essential role in measuring operational performance and controller workload. However, current studies mainly depend on the manual scoring method to scale or This paper focuses arrival operations presents a data-driven strategy establish correlation between avoid subjectivity of currently used method. Firstly, we present twenty-six for describing air two performance. Secondly, clustering distinguishes peak off-peak situations operation. Moreover, results are compared investigate initially. Thirdly, classification is adopted determine such further. In addition, also identify affecting factors which could influence Finally, trajectories aircraft landing at Guangzhou Baiyun International Airport (ZGGG) case validation. The indicate that there strong accuracy precision approximately 90%. Furthermore, number significantly impacts within TMA.