A knowledge-based conflict resolution tool for en-route air traffic controllers

Abstract

Purpose - The purpose of this paper is to develop a knowledge-based decision support tool used for assisting en-route air traffic controllers by generating resolutions for dual aircraft conflicts after being integrated into a model-based conflict detection and conflict resolution system. Design/methodology/approach - Air traffic controller knowledge, which was obtained from the literature research, about solving aircraft conflicts is represented in a decision tree. Then it is written in Visual Basic programming language. With reference to several rules form the expert air traffic controller knowledge and some factors which affect controller conflict resolution process, the tool generates advisories consisting of eight kinds of separation strategies. Findings - The paper finds that it is expected to increase the safety of air traffic system by supporting air traffic controller in conflict resolution process. Controller workload can be reduced by fast, reliable and acceptable resolution advisories of the tool. Research limitations/implications - The accuracy of decision tree is limited with the adequacy and quality of knowledge obtained from references, several assumptions and interpretation. Because of the unavailability of a model-based conflict detection and resolution tool, the tool could not be evaluated in simulations. Originality/value - After being integrated into a model-based decision support tool, it can reduce the deficiencies of the model-based tool such as low degree of resolution acceptance by controllers and low-resolution speed by providing expert air traffic controller knowledge to the tool.