OPEN / SPACE Intelligence Platform
Connect movement data, operational information and simulation to understand how a place performs, compare options and support better decisions.
A living model of how a place performs.
OPEN / SPACE brings together what is happening now, what the evidence tells us, what could happen next and what action to take. Live, Signal, Test and Act work together as part of one connected platform.
Live
"See what is happening."
Bring movement, occupancy, crowding and operational context into a current view of the place.
Example question
"Where is pressure building now?"
Signal
"Understand what needs attention."
Use live and historical evidence to identify patterns, changing conditions and operational priorities.
Example question
"When and where does the problem recur?"
Test
"Compare options before committing."
Assess proposed layouts and operating approaches against an evidence-based baseline.
Example question
"Which change is most likely to improve performance?"
Act
"Put evidence into practice."
Bring insight into dashboards, control rooms and team workflows, then measure the effect of the response.
Example question
"What should we change, and did it work?"
From agreed value to measurable improvement.
The framework moves through three stages: agree what a place needs to achieve, measure how it performs and assess change, then build the capability for continuous improvement. It turns movement data, operational systems, simulation and spatial information into capability you can configure around each place.
Agree what the place needs to achieve across its layout, operation and human experience.
Customer at the centre
Connect monitoring, analytics and scenario testing to understand performance and assess change.
Real-time movement, crowding, flow and capacity.
Patterns, risks and service signals from data.
Simulate options, compare scenarios and de-risk decisions.
Evidence-led operational decisions and improvement.
Develop the capability, working practices and shared understanding needed for continuous improvement.
From fragmented capability to continuous improvement
The OPEN / SPACE platform brings its configured dashboards, models and capabilities into a shared working environment.
Two ways to test change. One evidence base.
Test change where it is safe and fast to try, or simulate it first where a mistake would be costly, unsafe or disruptive. Predicted and measured performance meet in one live evidence base.
Continuous improvement, made operational. Every cycle of testing and simulation adds evidence, giving teams a stronger basis to monitor performance, make decisions and improve the asset.
The technology behind the platform
Proven technology, connected around people.
The platform brings together proven sensing, simulation, analytics and operational systems to create a continuously usable picture of movement.
OPEN / SPACE is designed to build on suitable existing infrastructure, introduce new capability where it adds value, and connect different systems into one operational picture of movement. What can be connected depends on the systems and data available at each site.
Spatial computing
"From stations to cities: system-wide intelligence"
Scalable Monitoring & Simulation
Evidence-based monitoring and modelling that integrates insights from stations, urban realms, and city networks.
Monitor multiple locations in real time with a single platform
Integrate multimodal transport data into a unified operational view
Run city-wide simulations to support planning and resilience
IoT integration
"Connecting infrastructure and data"
Interoperable Data Fusion
Aggregate and fuse data from sensors, devices, and external APIs: including schedules, weather, and asset systems.
Designed to work with existing infrastructure and systems
Streams live data from diverse sources for operational awareness
Correlates datasets across systems to reveal patterns and dependencies
Perception software
"Real-time movement and object detection"
Computer Vision & Sensor Intelligence
AI-powered perception from LiDAR, CCTV, and 3D sensors delivers accurate, real-time understanding of movement.
Fuses multiple sensor inputs for high detection accuracy
Identifies and classifies objects automatically in dynamic environments
Uses privacy-conscious computer vision and perception technologies designed for public spaces
Pedestrian simulation
"Comparing predicted and observed movement"
Crowd Modelling & Scenario Testing
Connect measured movement with appropriate simulation tools so predicted and observed performance can be compared.
Models crowd movement across transport and public environments
Compares proposed layouts and operating approaches against a baseline
Relates modelled scenarios to measured movement to inform decisions
Start with the capability your decision requires.
Configure a focused application today, with a route to broader use as needs develop.