Asia Pacific leads the world in air transportation growth. To sustain such growth, continued effort for the modernisation and harmonisation of operation and management of the regional airspace is essential. It was timely that in 2013, the Civil Aviation Authority of Singapore (CAAS) and Nanyang Technological University (NTU) jointly established the ATMRI in Singapore, with the vision to set up a renowned ATM research institute, finding innovative solutions, and catalysing an ATM transformation in the region. The strategic research foci of ATMRI are as follows:

• Artificial Intelligence & Data Analytics for ATM

• Urban Aerial Transport - Traffic Management and Systems

• Regional ATM Modernization

• Exploratory Studies & Emergence Technologies

• Talent Development – PhD Programmes

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PNG Image - 411.9 KB - MD5: 81bee9d3b1b1d706b4d3a660ed438141
PNG Image - 409.4 KB - MD5: 392c39473ba2fd893eafa779aeea97cf
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PNG Image - 389.9 KB - MD5: 70283baf30b039b695052050bbff4497
PNG Image - 386.4 KB - MD5: b867b2aabc98c6f9fc0bbeeb2086392a
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Aug 5, 2026 - Bizhao PANG
Pang, Bizhao, 2026, "AI4ATM-Wind-Field-Singapore-FIR-20240401_v1.xlsx", https://doi.org/10.21979/N9/AGDTOA, DR-NTU (Data), V1, UNF:6:/xfh7wc6MMp9Oao0FdF1UA== [fileUNF]
Sample wind-field data for the Singapore Flight Information Region, used to model wind effects in aircraft trajectory prediction and rerouting experiments.
Tabular Data - 480.6 KB - 23 Variables, 2000 Observations - UNF:6:/xfh7wc6MMp9Oao0FdF1UA==
Bizhao PANG(Nanyang Technological University)
Aug 5, 2026
This dataset contains non-sensitive sample data used in the A*STAR-funded project Artificial Intelligence for Air Traffic Management. It includes Singapore aeronautical information, sample ADS-B flight trajectory data, weather radar images, and wind-field data for the Singapore F...
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