Check out our research areas below
Artificial Intelligence and Data Analytics for Air Traffic Management
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- Research activities under this programme are related to:
- brain-computer interfaces
- conflict detection and resolution
- trajectory prediction
- delay prediction
- runway-taxiway management and airborne sequencing, under increasing demands and uncertainties
Urban Aerial Transport Traffic Management and Systems
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- Enabling safe and efficient operations in urban airspace through:
- Modeling the probability and severity of mid-air collision using risk estimation and impact simulation
- Ensuring safe separation based on CNS performance, latency in communication and command protocols, and inter-UAS/UAS-obstacles wake encounter modeling
- Management of traffic flow based on different air traffic management concepts and strategies, e.g. 4D trajectory based operations
Resilience Airspace Concept of Operations for Singapore and ASEAN
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- This looks into the enhancement of air traffic management through the study of innovative and advanced airspace concepts such as:
- Free-Route Airspace
- Flight-centric Operations
- Dynamic Management of Airspace
Exploratory Studies and Emergence Technologies
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- Some key areas of research undertaken are as follows:
- ATM Science
- ATM Applied Research
- Next-Generation Technologies
- Human-Machine ATM Interactive Studies
- Human-AI ATM Studies