Research · AI-Driven Mobility
AI-Driven MobilityUrban Systems

One data model
for a moving city.

A research program on city-scale mobility intelligence: every mode — buses, metro, taxis, logistics, micro-mobility — in one unified data model, with analytics that describe today, predict tomorrow and prescribe what to do about it, and computer vision counting the streets in real time.

1data model across every mode
3horizons — describe · predict · prescribe
CVcomputer vision at street scale
Self-healingplatform architecture
The research

Cities are data-rich and insight-poor.

Every operator, mode and department keeps its own systems, its own formats, its own dashboards. Nobody sees the network whole — so capacity decisions are made on last quarter’s reports while congestion happens in real time. The city has the data. It just can’t read itself.

Our research builds the missing layer. One semantic model that every mode speaks; pipelines that turn it into descriptive, predictive and prescriptive intelligence; computer vision that counts and classifies flows without tracking people; and a platform designed to heal itself, because city infrastructure doesn’t get maintenance windows. The same thinking feeds straight into Cooriroo, our field-operations platform.

A city that sees itself can steer itself.

Research areas

Four research areas. One moving picture.

Unified data model

Every mode, one language

All transport modesOperator-agnostic semanticsOpen standardsLive & historical

Analytics

Describe. Predict. Prescribe.

Network dashboardsDemand predictionPrescriptive operationsScenario simulation

Computer vision

The city, counted

Flow countingMode classificationIncident detectionPrivacy by design

Platform

Built to run a city

Self-healing architectureStreaming at scaleEmergency responseOn-prem capable

Give your city a nervous system.

From one corridor to the whole network — the model scales with your ambition.

Talk to our researchers