Intelligent Transportation Solutions

The team is focusing on developing decision-support tools for strategic and pre-tactical control, including the Terminal Maneuvering Area  (TMA) /runway practical capacity estimation tool, TMA trajectory optimisation tool, and weather forecast and impact analysis tool.

The goal of the TMA/runway practical capacity estimation tool is to assess both current utilisation and future capacity of the airspace and runway. Our aim is to adopt a more objective and comprehensive approach to measuring airspace/runway utilization and capacity compared to the current basic methods. The team is also developing decision support tools for the aerodrome, which can help to validate new concept of operations (ConOps). In terms of predicting adverse weather conditions, our solution aims to deliver more precise and timely aviation-specific weather forecasts and impact assessments for various regions (Aerodrome, TMA, and Enroute), tailored to AeroMET requirements. Successful development of such ATM-MET integration tools/solutions would facilitate the optimisation of ATM/ATFM operations and flight trajectories, thereby ensuring safe, efficient, and sustainable air traffic flows in and out of Changi Airport.

In terms of tactical control, we are working on an aerodrome decision support and optimisation tool, conflict management tool for ANSPs, and trajectory negotiation and management tool for airspace users. Having an aerodrome optimisation and decision support tool that accurately represents the entire operational environment can be extremely valuable for planners. This tool allows them to analyse current operations and conduct scenario-based analyses. Additionally, a conflict management tool will offer a selection of conflict-free trajectories, helping to decrease uncertainty and simplify air traffic management. Furthermore, the team is engaging with airlines and Air Navigation Service Providers (ANSPs) to explore and validate new  concept of operations (ConOps) for Trajectory-Based Operations (TBO) through supporting airlines in developing their capabilities for off-line/on-line trajectory management, negotiation and optimisation based on Flight and Flow Information for a Collaborative Environment (FF-ICE) Revisions 1 and 2 (R1 and R2) services.

Working with CAAS, we are embarking on various projects to develop capabilities in speech AI technologies for ATC voice communication. aiming to develop end-to-end (E2E) solutions to translate ATC audio into the “meaning”, i.e., semantic representations which are ready for operations. Meanwhile, the team is designing a space-based VHF voice communication system for aviation, with the aim to significantly reduce the separation minima between aircrafts from up to 80 NM to as low as 5 NM while observing the prevailing safety standards. These tools will greatly enhance the efficiency and capacity of the air space management.