Urban Traffic Simulator & AI
Lead System Architect & Engineering Lead: Augustin Olarian
System Architecture & Core Engineering Innovations
- Full-Scale Municipal Road & Rule Engine: Simulates real metropolitan street graphs, lane topologies, turn restrictions, public transit priorities, and hundreds of thousands of individual vehicles.
- ANPR License-Plate Trajectory Prediction (Infotrafic Integration): Connects to intersection cameras to track license plates across consecutive traffic lights, inferring macro origin-destination flows in real time.
- Dynamic Outbound Green Corridor Synthesis: Adjusts signal phase durations across chained intersections to drain congested residential and business zones before gridlock cascades.
- District Departure Offset Optimization (±15 Minutes): Proves mathematically and in simulation that combining dynamic signal corridors with 15-minute district departure recommendations reduces total rush-hour duration by more than 7x.
Technology Stack & Infrastructure
Production Scope Note: The complete production system is significantly larger and encompasses additional operational subsystems; the video walkthrough and this case study highlight selected core architectural innovations.
Technical Architecture FAQ
Games use simplified agent heuristics and despawn stuck cars. The Olarian Urban Traffic Simulator models real municipal road graphs, exact legal traffic rules, and live ANPR camera feeds to solve real-world metropolitan congestion without despawning vehicles.
By recognizing plate vectors across consecutive intersections, the AI knows the exact volume heading toward each arterial exit and opens synchronized outbound green waves while recommending 15-minute departure offsets by district.