All use cases
Explaining where a city's congestion builds, and why.
Automated checks on transport model outputs, and machine learning to find congestion hotspots and their causes.
The challenge
Abu Dhabi's strategic transport model, STEAM, produces large volumes of outputs, and checking them and explaining congestion takes specialist time.
Where it stands
The work is starting. Model outputs will be checked automatically, and congestion hotspots will be found and explained.
What we will build
- Connect
Model outputs
Outputs from the STEAM model are brought in as each run completes.
- Decide
Automatic checks
Automations check every run's outputs and flag anything that looks wrong.
- Model
Congestion found
Machine learning models find the areas of highest congestion.
- Act
Reasons explained
Each hotspot comes with the reasons behind it, so planners can act on the cause.
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