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Autoscope Analytics helps city traffic engineers understand how people actually move, hesitate, and react on the roadway, so you can design safer systems for all users, based on behavior, not assumptions.

Empowering City Engineers to Protect People First

Understand Behavior. Design for Safety.

TURN DATA INTO SAFER DECISIONS.

Go Beyond Counts. Understand Human Risk.

Traditional metrics can't capture the full complexity of real-world behavior. Autoscope uses AI to detect near-misses, pedestrian movements, turning movements, and other behaviors that signal a high level of risk. With this insight, you can intervene earlier and more effectively.

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DESIGN FOR HOW PEOPLE REALLY MOVE

Data-Driven Infrastructure Rooted in Behavior.

Standards and models assume compliance, but Autoscope Analytics helps you see what people actually do. Use behavioral data to inform intersection design, crossing improvements, and signal strategies that reflect real conditions, improving safety for pedestrians, cyclists, and drivers alike.

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RESPOND TO COMMUNITY CONCERNS WITH CONFIDENCE

Ground Your Decisions in Human-Centered Data

When residents report unsafe conditions, Autoscope Analytics gives you the behavioral context to understand and act. Visual evidence and analytics help you validate concerns, identify root causes, and recommend solutions that are transparent and defensible.

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SCALE SMART, ACT FAST

Expand Behavioral Safety Without Expanding Your Budget

Autoscope enables city engineers to scale safety analysis without adding new crews or hardware. Automatically capture and analyze behavioral risk patterns across dozens or hundreds of interactions simultaneously. From pilot corridors to citywide rollouts, Autoscope Analytics helps you bring behavioral intelligence wherever it's needed, efficiently and affordably.

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Build a City That Moves with Its People

Autoscope Analytics empowers city engineers to design streets that respect real behavior and protect vulnerable users. It's the human-centered approach to Vision Zero you've been waiting for.

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