How Venturi Works
Data-driven optimization for smarter traffic management
Our Proven Workflow
A systematic approach to traffic signal optimization
1
Input
Junction layouts, safety rules, and real traffic data from counts, drones, and Waze
2
Simulate
Model traffic accurately using industry-standard simulation software
3
AI Optimize
Python ML algorithms run thousands of scenarios to find optimal signal timings
4
Validate
Check against safety standards and verify performance improvements
5
Output
Ready-to-deploy, optimized traffic signal programs
Technology Stack
The engine behind the results
| Component | Description |
|---|---|
| AI/ML Core | Python-based optimization algorithms |
| Simulation | Refined models on German traffic software |
| Scalability | Multithreading for massive simulation runs |
| Data Sources | Counts, Drone Video (DataFromSky), Crowdsourced |
| Cloud Power | High-performance computing for ML & Simulation |
| Tools | CLI for automation, Venturi Certifier Tool |
| Verification | Rigorous validation processes |
Key Advantage: Unique synergy of advanced ML and realistic simulation for practical traffic signal optimization.
See It In Action
Our interactive demo shows how Venturi optimizes traffic signals in real-time.
- Visualize traffic flow before and after optimization
- Adjust parameters to see different scenarios
- Compare waiting times and throughput
- Explore real-world case studies
Ready to Transform Your City's Traffic?
Contact us to learn how Venturi can optimize your traffic signals.