Transport Case Study
Smart Traffic Flow
AI-powered traffic control system optimizing signal timings across 500+ intersections to reduce congestion and carbon emissions.
Computer VisionEdge Computing5G
Project Snapshot
-18%
Commute Time
-15%
Emissions
500+
Intersections
active
Status
14
Launch Year
+5
CategoryTransport
Sub-CategoryAI Traffic Management
Timeline14 Months
The Challenge
Static traffic light timers were causing massive congestion during peak hours, increasing pollution and commute times.
Our Solution
Smart Traffic Flow utilizes computer vision at the edge to analyze real-time traffic density. The system dynamically adjusts traffic light timings across the city grid to create 'green waves' for emergency vehicles and public transport.
Strategic Architecture
Designed a scalable, future-proof system architecture tailored to handle high-volume data throughput.
Custom Integration
Seamlessly integrated with existing legacy systems while introducing modern API layers.
Key Results
-18%
Commute Time
-15%
Emissions
500+
Intersections