NoTraffic is a mobility platform that digitizes and automates urban traffic management. NoTraffic transforms traditional traffic signals into smart infrastructure, enabling real-time understanding and response to all types of road users—including vehicles, bikes, buses, pedestrians, and emergency vehicles—across a city grid.
The NoTraffic platform uses AI-powered software and cloud-based dashboards to help cities implement and enforce policies such as transit priority corridors and enhanced bike and pedestrian safety. By operating intersections autonomously based on actual demand, NoTraffic aims to improve traffic flow, reduce congestion, lower CO2 emissions, and increase overall road safety.
A notable aspect of NoTraffic’s solution is its ability to natively integrate V2X (vehicle-to-everything) communication tools, preparing cities to manage both current traffic and future mobility innovations. This makes the platform adaptable for evolving urban transportation needs.
How was NoTraffic started?
NoTraffic was founded by a team with backgrounds in technology, operations, and urban mobility: Tal Kreisler (Co-Founder & CEO), Uriel Katz (Co-Founder & CTO), and Or Sela (Co-Founder & CSO), among others. The leadership team brings expertise in product development, research, and scaling technology solutions for complex environments. More information about the team and their vision can be found on their About page.
Who uses NoTraffic?
NoTraffic’s platform is used by city governments and transportation agencies seeking to modernize their traffic infrastructure. Notable customers include:
- Tucson
- British Columbia
- Phoenix
- Arlington
- Huntsville
- Sugar Land
These cities leverage NoTraffic’s technology to manage city-wide traffic signals, enhance safety for all road users, and support sustainability initiatives.
What makes NoTraffic different?
NoTraffic stands out by offering a fully automated, AI-driven approach to traffic management that does not require complete replacement of existing infrastructure. The system’s real-time analysis and autonomous operation enable cities to customize traffic policies for diverse road users and dynamically respond to changing conditions, all while reducing environmental impact.
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