Abstract :
A number of methods have been proposed to automate air traffic conflict detection and resolution (CDR), but there has been little cohesive discussion or comparative evaluation of approaches. The paper presents a survey of 68 CDR modeling methods, several of which are currently in use or under operational evaluation. A framework that articulates the basic functions of CDR is used to categorize the models. The taxonomy includes: dimensions of state information (vertical, horizontal, or three-dimensional, 3-D); method of dynamic state propagation (nominal, worst case, or probabilistic); conflict detection threshold; conflict resolution method (prescribed, optimized, force field, or manual); maneuvering dimensions (speed change, lateral, vertical, or combined manoeuvres); and management of multiple aircraft conflicts (pairwise or global). An overview of important considerations for these and other CDR functions is provided, and the current system design process is critiqued
Keywords :
air traffic control; probability; state estimation; air traffic; conflict detection; conflict resolution; dynamic state propagation; maneuvering dimensions; modeling methods; state information; Aerospace control; Air safety; Air traffic control; Aircraft; Automation; Humans; Intelligent transportation systems; NASA; Space technology; Traffic control;