Keep your city moving, safely and efficiently.
Cities face increasing pressure to manage traffic, support multimodal mobility, improve safety, and coordinate public transport and freight. All while preparing for new services like DRT and autonomous vehicles.
We provide the tools that help cities understand, predict, and improve everything happening on their streets.
What You Can Achieve
Avoid congestion before it forms
Identify traffic build-ups early, predict queue propagation, and improve corridor reliability.
Operate mobility hubs more efficiently
Coordinate arrivals, transfers, freight, and EV charging for smoother passenger and logistics flows.
Improve safety for pedestrians and cyclists
Detect high-risk areas, adjust lighting, apply targeted interventions, and evaluate redesigns.
Plan future mobility with confidence
Test DRT routes, AV pilots, street redesigns, and urban corridor interventions in a digital twin.
Key Use Cases
Traffic Monitoring & Optimisation
Combine data sources, detect events, predict congestion waves, and reduce clearance times.
Multimodal Hub Operations
Manage flows in passenger and freight hubs from a single control perspective.
Sensitive Corridor Protection
Integrate AQ, traffic, and behavioural data to create safer and cleaner routes around sensitive areas, including schools, hospitals, playgrounds, and natural parks
Road Safety Analytics
Identify conflict points, VRU risks, and hazardous zones with data-driven evidence.
Scenario Testing
Simulate DRT, cycling networks, traffic restrictions, and next-generation mobility services (micromobility, MaaS, CCAM) before rollout.
How Our Technology Helps
We integrate real-time sensing, predictive analytics, and simulation environments to deliver reliable mobility insights.
Where relevant:
- SLIMS: provides the sensing and real-time mobility insights.
- Mobility Behaviour Simulator: provides digital twin testing and scenario exploration.
- EV Charging Analytics Toolkit: supports mobility–energy decisions for hubs.
