Learning Objectives
- Understand what NoTraffic does and the limits of traditional traffic signals
- Evaluate how AI enables real-time, demand-driven signal control
- Assess where NoTraffic fits in transportation and civil engineering
What Is NoTraffic?
NoTraffic is a transportation-technology company that uses AI to manage traffic signals. Most intersections still run on fixed timing plans or simple in-pavement loop detectors — approaches that can't adapt well to changing, real-world demand, which is a major source of congestion and crashes. NoTraffic replaces that with a sensing-and-decision platform that reacts continuously to what is actually happening at the intersection.
Its roadside units combine computer vision and radar to detect and classify everything approaching — cars, trucks, buses, cyclists, and pedestrians — and feed that into cloud software that adjusts signal timing in real time. Rather than following a static schedule, the signal responds to live demand.
💡Key Concept
Adaptive signal control: Traffic signals that adjust their timing based on real-time conditions instead of a fixed schedule. By sensing actual demand — including pedestrians and cyclists, not just cars — adaptive systems can cut delay and improve safety across a corridor.
How AI Changes the Workflow
NoTraffic's platform makes signal control autonomous and data-driven. Because it senses each road user by type, it can prioritize transit, protect vulnerable road users, and optimize flow not just at one intersection but across a connected corridor. For traffic engineers, this shifts the job from periodically retiming signals by hand toward configuring objectives and supervising a system that continuously optimizes itself.
The company reports deployment across many United States states and hundreds of agencies, and in 2026 raised a large funding round to expand. It also positions its connected-intersection data as a foundation for the future of road networks, including connected and autonomous vehicles.
Who Uses NoTraffic?
NoTraffic is aimed at cities, counties, and state transportation agencies, and the traffic engineers who design and operate signal systems. Its value is highest in growing or congested networks where retiming signals manually can't keep up with demand, and where safety for pedestrians and cyclists is a priority.
Company Details
| Detail | Info |
|---|---|
| Product | NoTraffic — AI-powered traffic-signal management platform |
| Company | NoTraffic (founded 2017) |
| Sensing | Roadside computer vision and radar detecting all road users |
| Control | Cloud AI adjusts signal timing autonomously in real time |
| Scope | Single intersections and connected corridors |
| Deployment | Across many US states and hundreds of agencies |
| Target users | City, county, and state transportation agencies and traffic engineers |
| Website | notraffic.tech |
Strengths
- Real-time adaptation — responds to live demand instead of a fixed schedule
- Sees all road users — classifies cars, transit, cyclists, and pedestrians
- Corridor-wide — optimizes flow across connected intersections, not just one
- Safety focus — can protect vulnerable road users and prioritize transit
- AI-native — vision-and-radar sensing plus autonomous control is the product
Limitations and Considerations
- Infrastructure deployment — requires installing roadside sensor units
- Agency procurement — sold to public agencies, enterprise pricing and timelines
- Operations, not design — optimizes how signals run, not roadway geometry
- Network effects — value grows as more intersections in a corridor are connected
Pricing
NoTraffic is sold to transportation agencies as an enterprise platform, typically combining roadside hardware with cloud software, priced per deployment. Contact NoTraffic for details.
Key Takeaways
- NoTraffic uses roadside computer vision and radar plus cloud AI to manage traffic signals in real time
- It detects every type of road user and adjusts signal timing autonomously, replacing fixed-timing and loop-based control
- It optimizes flow across connected corridors and can prioritize transit and protect pedestrians and cyclists
- Deployed across many US states, it is one of the clearest AI-native tools in transportation engineering


