These technologies will use artificial intelligence (AI) and big data analytics to enhance the management of Singapore's port and surrounding waters. The technologies will also use real-world data to improve the prediction of congestion and identification of potential collisions and other risks before they happen.
As a result of this collaboration, several key technologies will be developed to improve the management of maritime vessel traffic, including:
- Prediction models, such as: A short-term trajectory prediction model; A long-term traffic model that can forecast the traffic situation.
- Risk and hotspot calculation models, such as: A risk calculation model for near-miss risk of a pair of vessels; A hotspot model that reveals changing risk hotspots.
- Intelligent coordination models, such as: A spatial coordination model that seeks to re-route vessels to avoid near-miss and collision incidents; A temporal coordination model that coordinates the passage timing of vessels to reduce hotspots.
These technologies will be tested for their potential to enhance navigational safety, such as the ability to detect and recognise a near-miss risk before happening.
Another target is to forecast and mitigate the changing hotspot before it is generated, by using long-term traffic forecasts, hotspot calculation, and intelligent coordination models.