Safety Risk Assessment Algorithm of TCAS Advisories Based on Fuzzy Clustering

In this paper, a safety risk assessment algorithm is presented based on the conflict alarms of the traffic alert and collision avoidance system (TCAS). The assessment algorithm is an integrated model based on the fuzzy clustering techniques. In particular, the Fuzzy c-Means (FcM) clustering method is utilized to evaluate the hazardous severity. This assessment algorithm could be used as the safety performance indicator contributing to the construction of Safety Management System (SMS) for the airlines. The experiments show that it is effective for the safety risk assessment.