A map-matching algorithm for ground movement trajectory representation using A-SMGCS data

Increasing availability of air traffic data has opened new opportunities for better understanding of Air Traffic Management (ATM) system. At Airport-Air side, A-SMGCS (Advanced Surface Movement Guidance \& Control System) data may provide useful insights to improve efficiency and safety of airpo...

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Main Authors: Tran, Thanh-Nam, Pham, Duc-Thinh, Alam, Sameer
Other Authors: School of Mechanical and Aerospace Engineering
Format: Conference or Workshop Item
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/144461
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1444612020-11-07T20:10:26Z A map-matching algorithm for ground movement trajectory representation using A-SMGCS data Tran, Thanh-Nam Pham, Duc-Thinh Alam, Sameer School of Mechanical and Aerospace Engineering 2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation (AIDA-AT) Air Traffic Management Research Institute Engineering::Aeronautical engineering Airport Surface Movement Map-matching Increasing availability of air traffic data has opened new opportunities for better understanding of Air Traffic Management (ATM) system. At Airport-Air side, A-SMGCS (Advanced Surface Movement Guidance \& Control System) data may provide useful insights to improve efficiency and safety of airport operations by understanding traffic patterns, taxi-way usage, ground speed profiles and any anomaly behaviour. However, A-SMGCS data comes from the fusion of several sensors such as MLAT, ADS-B and SMR. This leads to high and variable noise, missing data values, and temporal and spatial misalignment. In this study, we proposed a new and simplified representation of ground movement trajectories using a map-matching algorithm applied on A-SMGCS data. The proposed approach not only overcomes above mentioned issues of data, but also takes into consideration airport specific operational constraints. The algorithm shows a good matching results with mean percentage error of approximate 8.13\% . The matching trajectories and sequences of nodes in resulting graph, supports a variety of analysis about airport operations. To show the effectiveness of proposed approach, we performed some analysis such as traffic patterns, taxi-way usages, speed profiling and anomaly detection, using one month of A-SMGCS data at Singapore Changi Airport. Civil Aviation Authority of Singapore (CAAS) Accepted version This research / project* is supported by the Civil Aviation Authority of Singapore and Nanyang Technological University, Singapore under their collaboration in the Air Traffic Management Research Institute. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of the Civil Aviation Authority of Singapore. 2020-11-06T03:06:48Z 2020-11-06T03:06:48Z 2020 Conference Paper Tran, T.-N., Pham, D.-T., & Alam, S. (2020). A map-matching algorithm for ground movement trajectory representation using A-SMGCS data. Proceedings of the 2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation (AIDA-AT), 1-8. doi:10.1109/AIDA-AT48540.2020.9049181 978-1-7281-5381-0 https://hdl.handle.net/10356/144461 10.1109/AIDA-AT48540.2020.9049181 en M4062429.052 © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work is available at: https://doi.org/10.1109/AIDA-AT48540.2020.9049181 application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Aeronautical engineering
Airport Surface Movement
Map-matching
spellingShingle Engineering::Aeronautical engineering
Airport Surface Movement
Map-matching
Tran, Thanh-Nam
Pham, Duc-Thinh
Alam, Sameer
A map-matching algorithm for ground movement trajectory representation using A-SMGCS data
description Increasing availability of air traffic data has opened new opportunities for better understanding of Air Traffic Management (ATM) system. At Airport-Air side, A-SMGCS (Advanced Surface Movement Guidance \& Control System) data may provide useful insights to improve efficiency and safety of airport operations by understanding traffic patterns, taxi-way usage, ground speed profiles and any anomaly behaviour. However, A-SMGCS data comes from the fusion of several sensors such as MLAT, ADS-B and SMR. This leads to high and variable noise, missing data values, and temporal and spatial misalignment. In this study, we proposed a new and simplified representation of ground movement trajectories using a map-matching algorithm applied on A-SMGCS data. The proposed approach not only overcomes above mentioned issues of data, but also takes into consideration airport specific operational constraints. The algorithm shows a good matching results with mean percentage error of approximate 8.13\% . The matching trajectories and sequences of nodes in resulting graph, supports a variety of analysis about airport operations. To show the effectiveness of proposed approach, we performed some analysis such as traffic patterns, taxi-way usages, speed profiling and anomaly detection, using one month of A-SMGCS data at Singapore Changi Airport.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Tran, Thanh-Nam
Pham, Duc-Thinh
Alam, Sameer
format Conference or Workshop Item
author Tran, Thanh-Nam
Pham, Duc-Thinh
Alam, Sameer
author_sort Tran, Thanh-Nam
title A map-matching algorithm for ground movement trajectory representation using A-SMGCS data
title_short A map-matching algorithm for ground movement trajectory representation using A-SMGCS data
title_full A map-matching algorithm for ground movement trajectory representation using A-SMGCS data
title_fullStr A map-matching algorithm for ground movement trajectory representation using A-SMGCS data
title_full_unstemmed A map-matching algorithm for ground movement trajectory representation using A-SMGCS data
title_sort map-matching algorithm for ground movement trajectory representation using a-smgcs data
publishDate 2020
url https://hdl.handle.net/10356/144461
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