ABSTRACT
Modern complex systems utilize a large number of sensors to dynamically collect real-time data about their components, operations, and environment. This large amount of data can be overwhelming to the human operator who is responsible for monitoring certain events of interest about this data, such as safety, security, reliability, and other concerns that are crucial to the sound operation of the system. Therefore, it is necessary to develop a decision-support mechanism that assists operators to focus their attention on dominant events with high priority that need immediate action. This tool is supposed to help operators conveniently spot problems and system abnormalities rapidly and to alert other appropriate resources to be deployed to respond to these abnormalities in real space and time. In this chapter, we present a data fusion and visualization model as a decision-support tool in the field of air traffic management system. For the experimental part of this work, we will use simulated scenarios and record events of interest typical in air traffic environment. The data fusion model will be used to fuse this data and visualize it. The effectiveness of the proposed model will be evaluated by comparing the collected and projected data without using the fusion model vs. the results of the scenarios using the proposed model.
