Bayesian Network Model of Pilot Response to Collision Avoidance System Resolution Advisories

Abstract

The effectiveness of an airborne collision avoidance system is influenced by the manner in which pilots respond to the system’s advisories. Current pilot response models used in collision avoidance system modeling and simulation are agnostic to properties of individual encounters affecting pilot response, such as encounter geometry and system alerting behavior. Therefore, the pilot response behavior described by these models does not vary between encounters. Simulations using these models can lead to inaccurate results, potentially including the underestimation of collision risk in encounters where pilot response probability is low. This paper proposes a method to construct parametric pilot response models in which pilot response to collision avoidance system advisories varies based on individual encounter properties. A model was constructed from radar recordings of Traffic Alert and Collision Avoidance System (TCAS) encounters. The encounter properties with the strongest influence on pilot response were ...