Carlos Insaurralde Carlos.Insaurralde@uwe.ac.uk
Senior Lecturer in Electronic Engineering
Ontologies in Aeronautics
Insaurralde, Carlos C.; Blasch, Erik
Authors
Erik Blasch
Contributors
Umut Durak
Editor
Jurgen Becker
Editor
Sven Hartmann
Editor
Nikolaos Voros
Editor
Abstract
Avionics systems are getting increasingly sophisticated, airspaces are densely occupied, and aircraft are desired to fly in more adverse weather conditions. These conditions increase the complexity of Air TrafficManagement (ATM) as aviators and airspace controllers struggle to maintain safety while cross-checking multisource information, including information from Unmanned Aerial Systems (UASs). Hence, futureATMdecision-support systems are required not only to be autonomous and reliable complex decision-making processes with minimal human intervention, but also must be able to deal with UAS ATM (UTM). This chapter presents the implementation of Ontologies for NextGen Avionics Systems (ONAS) for UTM. TheONAS approach consists of an operation framework and an ontology-based tool, called Avionics Analytics Ontology (AAO), to support decision-making in advanced ATM/UTM systems. The AAO entails a cognitive ATM/UTM architecture for avionics analytics where an ontological database captures information related to weather, flights, and airspace. The AAO-based decision-making process supports human Situation AWareness (SAW) as well as machine Situation Assessment (SA). The ONAS approach presented is intended to be initially used in civil aviation. A use case along with two different scenarios is presented for an ATM/UTM system. The scenarios represent realistic flight situations (based on dataset from a flight tracking service) where the ATM/UTM decisions made are supported by the AAO.
Online Publication Date | May 11, 2018 |
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Publication Date | May 11, 2018 |
Deposit Date | Jan 29, 2020 |
Publisher | Springer (part of Springer Nature) |
Pages | 67-85 |
Book Title | Advances in Aeronautical Informatics |
Chapter Number | 6 |
ISBN | 9783319750576 |
DOI | https://doi.org/10.1007/978-3-319-75058-3_6 |
Keywords | Smart Aircraft, Cyber-Physical Systems, Internet of Things, Service Orientation, Data Analytics |
Public URL | https://uwe-repository.worktribe.com/output/5266326 |
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