Optimisation of changi airport's future air traffic contingency management in extreme haze condition

As world air traffic grows exponentially, Singapore Changi Airport has planned ahead and geared up for challenges in years to come. Despite being well equipped with all the sophisticated technologies, air traffic movements are still affected yearly by haze from the region. Such haze reduces...

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Main Author: Lo, Kar Koon
Other Authors: Nie Xiaofeng
Format: Final Year Project
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/10356/60041
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-600412023-03-04T18:50:22Z Optimisation of changi airport's future air traffic contingency management in extreme haze condition Lo, Kar Koon Nie Xiaofeng School of Mechanical and Aerospace Engineering DRNTU::Engineering::Aeronautical engineering::Air navigation DRNTU::Engineering::Aeronautical engineering::Accidents and air safety DRNTU::Engineering::Aeronautical engineering::Aviation DRNTU::Engineering::Aeronautical engineering::Flight simulation DRNTU::Engineering::Industrial engineering::Engineering management DRNTU::Engineering::Industrial engineering::Operations research DRNTU::Engineering::Industrial engineering::Supply chain As world air traffic grows exponentially, Singapore Changi Airport has planned ahead and geared up for challenges in years to come. Despite being well equipped with all the sophisticated technologies, air traffic movements are still affected yearly by haze from the region. Such haze reduces visibility and forces air traffic movements to slow down as part of precautionary measures to ensure the best safety policies are practiced. Such slow air traffic movements can easily cause congestion to the high volume of air traffic in the future. This final year project explores various methods to optimise future flight movements that fly in and out of Changi Airport during haze by using Microsoft Excel simulations. Two optimisation models are created to reduce all departure and arrival aircrafts’ waiting time. The first optimisation model addresses the problem by separating the flights by time evenly. The second optimisation model tackles the problem by having an alternate land and take off or a vice versa of the pattern. In addition to support the optimisation models, Chapter 2 reviews the necessary literatures such as flight statistics and wake turbulence in order to understand the various perimeters needed in the study. To understand the future flight movements, a forecast is done in Chapter 3 before using these figures in the optimisation model simulations. At the conclusion, the pros and cons of both optimisation models are examined. Bachelor of Engineering (Mechanical Engineering) 2014-05-22T02:23:47Z 2014-05-22T02:23:47Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/60041 en Nanyang Technological University 103 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::Air navigation
DRNTU::Engineering::Aeronautical engineering::Accidents and air safety
DRNTU::Engineering::Aeronautical engineering::Aviation
DRNTU::Engineering::Aeronautical engineering::Flight simulation
DRNTU::Engineering::Industrial engineering::Engineering management
DRNTU::Engineering::Industrial engineering::Operations research
DRNTU::Engineering::Industrial engineering::Supply chain
spellingShingle DRNTU::Engineering::Aeronautical engineering::Air navigation
DRNTU::Engineering::Aeronautical engineering::Accidents and air safety
DRNTU::Engineering::Aeronautical engineering::Aviation
DRNTU::Engineering::Aeronautical engineering::Flight simulation
DRNTU::Engineering::Industrial engineering::Engineering management
DRNTU::Engineering::Industrial engineering::Operations research
DRNTU::Engineering::Industrial engineering::Supply chain
Lo, Kar Koon
Optimisation of changi airport's future air traffic contingency management in extreme haze condition
description As world air traffic grows exponentially, Singapore Changi Airport has planned ahead and geared up for challenges in years to come. Despite being well equipped with all the sophisticated technologies, air traffic movements are still affected yearly by haze from the region. Such haze reduces visibility and forces air traffic movements to slow down as part of precautionary measures to ensure the best safety policies are practiced. Such slow air traffic movements can easily cause congestion to the high volume of air traffic in the future. This final year project explores various methods to optimise future flight movements that fly in and out of Changi Airport during haze by using Microsoft Excel simulations. Two optimisation models are created to reduce all departure and arrival aircrafts’ waiting time. The first optimisation model addresses the problem by separating the flights by time evenly. The second optimisation model tackles the problem by having an alternate land and take off or a vice versa of the pattern. In addition to support the optimisation models, Chapter 2 reviews the necessary literatures such as flight statistics and wake turbulence in order to understand the various perimeters needed in the study. To understand the future flight movements, a forecast is done in Chapter 3 before using these figures in the optimisation model simulations. At the conclusion, the pros and cons of both optimisation models are examined.
author2 Nie Xiaofeng
author_facet Nie Xiaofeng
Lo, Kar Koon
format Final Year Project
author Lo, Kar Koon
author_sort Lo, Kar Koon
title Optimisation of changi airport's future air traffic contingency management in extreme haze condition
title_short Optimisation of changi airport's future air traffic contingency management in extreme haze condition
title_full Optimisation of changi airport's future air traffic contingency management in extreme haze condition
title_fullStr Optimisation of changi airport's future air traffic contingency management in extreme haze condition
title_full_unstemmed Optimisation of changi airport's future air traffic contingency management in extreme haze condition
title_sort optimisation of changi airport's future air traffic contingency management in extreme haze condition
publishDate 2014
url http://hdl.handle.net/10356/60041
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