Riyadh Smart Traffic AI Management
850+ Intersections AI-Controlled
28% Congestion Reduced -28%
-45% Incident Response Faster
Project Overview
Project Overview
Riyadh’s rapid growth has strained its road infrastructure. We deployed an AI-powered traffic management system to optimize flow across the city.
The Challenge
Peak hour congestion was costing Riyadh an estimated $3.5B annually in lost productivity. Traditional timing systems couldn’t adapt to real-time conditions.
Our Solution
We implemented a comprehensive smart traffic platform:
- AI Traffic Analysis: Real-time vehicle counting and flow prediction
- Adaptive Signal Control: Dynamic timing based on actual conditions
- Incident Detection: Automatic accident and obstruction alerts
- Emergency Vehicle Priority: Automatic green wave for emergency responders
Results
- 28% reduction in peak hour congestion
- 45% faster incident response times
- $500M estimated annual productivity savings
- 15% decrease in traffic-related emissions
Project Gallery
Project Journey
Project Timeline
March 2024
Pilot Phase
Tested on 50 intersections
July 2024
City-Wide Rollout
Expanded to 850+ intersections
October 2024
Full Integration
Connected with emergency services
Results
Project Impact
Measurable outcomes and improvements delivered
850+
Intersections
AI-Controlled
28%
Congestion Reduced
-28%
-45%
Incident Response
Faster
The AI traffic system has transformed Riyadh's commute. We're seeing real improvements in daily travel times.
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