Unstable approach in aviation : using agent-based modelling to investigate interaction breakdown
The aviation industry has seen vast improvements in its safety records over the last few decades. However, accidents in the landing phase of flight are still an area of concern for all stakeholders involved. Most notably, unstable approaches contribute approximately 14% to landing incidents and this...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/75641 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-75641 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-756412023-03-04T18:36:02Z Unstable approach in aviation : using agent-based modelling to investigate interaction breakdown Safi Shirbeeni, Saffwan Chen Chun-Hsien Khoo Li Pheng School of Mechanical and Aerospace Engineering DRNTU::Engineering::Aeronautical engineering::Aviation The aviation industry has seen vast improvements in its safety records over the last few decades. However, accidents in the landing phase of flight are still an area of concern for all stakeholders involved. Most notably, unstable approaches contribute approximately 14% to landing incidents and this can certainly be reduced due to their recoverable nature. This project investigates the decision-making processes of pilots and air traffic controllers and specifically, their mental models to identify the critical breakdown in this team interaction that will ultimately lead to unstable approach. An agent-based model will be used to simulate the interaction and provide insight into this natural phenomenon. Bachelor of Engineering (Aerospace Engineering) 2018-06-06T03:56:47Z 2018-06-06T03:56:47Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75641 en Nanyang Technological University 78 p. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
DRNTU::Engineering::Aeronautical engineering::Aviation |
spellingShingle |
DRNTU::Engineering::Aeronautical engineering::Aviation Safi Shirbeeni, Saffwan Unstable approach in aviation : using agent-based modelling to investigate interaction breakdown |
description |
The aviation industry has seen vast improvements in its safety records over the last few decades. However, accidents in the landing phase of flight are still an area of concern for all stakeholders involved. Most notably, unstable approaches contribute approximately 14% to landing incidents and this can certainly be reduced due to their recoverable nature. This project investigates the decision-making processes of pilots and air traffic controllers and specifically, their mental models to identify the critical breakdown in this team interaction that will ultimately lead to unstable approach. An agent-based model will be used to simulate the interaction and provide insight into this natural phenomenon. |
author2 |
Chen Chun-Hsien |
author_facet |
Chen Chun-Hsien Safi Shirbeeni, Saffwan |
format |
Final Year Project |
author |
Safi Shirbeeni, Saffwan |
author_sort |
Safi Shirbeeni, Saffwan |
title |
Unstable approach in aviation : using agent-based modelling to investigate interaction breakdown |
title_short |
Unstable approach in aviation : using agent-based modelling to investigate interaction breakdown |
title_full |
Unstable approach in aviation : using agent-based modelling to investigate interaction breakdown |
title_fullStr |
Unstable approach in aviation : using agent-based modelling to investigate interaction breakdown |
title_full_unstemmed |
Unstable approach in aviation : using agent-based modelling to investigate interaction breakdown |
title_sort |
unstable approach in aviation : using agent-based modelling to investigate interaction breakdown |
publishDate |
2018 |
url |
http://hdl.handle.net/10356/75641 |
_version_ |
1759854249331654656 |