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

• Main Authors: Tran, Thanh-Nam, Pham, Duc-Thinh, Alam, Sameer
• 其他作者: School of Mechanical and Aerospace Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2020
• 主題: Engineering::Aeronautical engineering; Airport Surface Movement; Map-matching
• 在線閱讀: https://hdl.handle.net/10356/144461
• 機構: Nanyang Technological University

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.