How It Works
A simple pipeline powers UrbanPulse: collect data, analyze it with AI, update signals in real time, and monitor impact.
Simple Flow
- Sensors & APIs collect data — cameras, loop detectors, weather APIs, datasets (e.g., PeMS).
- UrbanPulse AI analyzes — reinforcement learning models evaluate real-time traffic patterns.
- Signal plans update instantly — adjusting green, yellow, and red durations per intersection.
- Dashboard displays impact — performance, emissions savings, and optimization reports.
Core Features
- Real-Time Optimization: AI-powered signal adjustments every second based on live conditions.
- Multi-Intersection Coordination: Synchronizes lights across corridors for smooth traffic waves.
- Incident & Weather Adaptation: Automatically adapts during accidents, roadworks, or storms.
- Carbon Emissions Tracking: Measures CO₂ reduction from improved efficiency.
- Public Transit Priority: Green-light priority for buses, trams, and emergency vehicles.
- Data-Driven Insights: Cloud dashboard with heatmaps, wait-time stats, and emissions reports.
Proven Impact
- Up to 25% reduction in average travel times.
- Test deployments reduced congestion by up to 35%.
- Emergency vehicle arrival times improved by 20%.
Key Benefits
- Up to 40% shorter wait times at intersections
- Significant CO₂ reduction from less idling
- Lower fuel costs for commuters
- Fewer accidents due to reduced congestion
- Scalable from small towns to megacities