NoTraffic

AI-powered traffic signal platform that replaces fixed-timer lights with real-time optimization

Contact for pricing Israel

We've all experienced it: sitting at an empty intersection at 3 AM, forced to wait 90 seconds for a green light. NoTraffic transforms traditional fixed-time traffic signals into an intelligent system that uses sensors to analyze road conditions in real time and dynamically manage right-of-way.

Key Features

Edge-computing devices with AI real-time detection and road-user classification
Cloud-based Mobility OS for cross-intersection coordination
Mobility Store featuring modules for safety, analytics, and emergency prioritization
Sensor fusion combining computer vision and radar
24/7 managed services via US operations center

Pros

Large-scale commercial deployment rather than just pilot projects
Sensor fusion design offers better stability in low-light and adverse weather than vision-only systems
Emergency vehicle preemption delivers immediate, tangible public value

Cons

Requires physical hardware installation at intersections, involving public works-level projects
Detection models primarily trained on US traffic patterns; regions with high motorcycle or scooter traffic require retraining and validation
Lengthy procurement and security review cycles mean it cannot be deployed overnight

Use Cases

Real-time intersection signal optimization
Pedestrian and bicyclist safety detection
Emergency and fire vehicle priority transit
Intersection traffic flow and accident hotspot analysis

Editor's Note

Traffic signal optimization is compelling because it's one of the few ways to improve congestion without building new roads—provided the detection models are thoroughly adapted to local intersection complexities.

FAQ

Can the system accurately detect regions with heavy motorcycle or scooter traffic?

This is a key technical consideration. Because NoTraffic's models are primarily trained on US traffic environments with low motorcycle density, local video footage and retraining are required for accurate deployment in dense two-wheeler regions to avoid misclassification or missed detections. Any vendor claiming immediate plug-and-play capability should be carefully evaluated.

Does the system collect personally identifiable information (PII)?

Intersection cameras inherently capture video data, making data processing critical—specifically whether de-identification occurs at the edge, how long raw footage is stored, and who has access. Procurement should strictly incorporate data governance terms into contracts rather than treating privacy as an afterthought.