Great companies trust SMATS, the enterprise leader in traffic data analysis.

Collect and Analyze Actionable Traffic Data

SMATS offers a powerful traffic data analytics application. Data is collected from re-identification sensors, radar sensors, and third-party crowdsource and connected cars and augmented by advanced analytics to meet your project needs.

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Improve Traffic Flow with Reliable Traffic Data

SMATS iNode™ data collection and analytics application is designed to fit your goals. iNode™ applications help traffic operations, engineering, and planning departments to better manage traffic flow and optimize transportation networks.

Introducing: The next generation risk screening and prediction model using connected car data

Introducing: The next generation risk screening and prediction model using connected car data.

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Analyzing cut through downtown traffic in the City of Franklin

The next generation of risk screening models is here! SMATS’ study shows that driver behaviours are proven significant crash predictors for both road segments and intersections, particularly harsh brakes and acceleration.

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Crash prediction for safety analytics: How connected car data offers more

The next generation of risk screening models is here! SMATS’ study shows that driver behaviours are proven significant crash predictors for both road segments and intersections, particularly harsh brakes and acceleration.

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How Much Data is Enough?

Get the minimum sample size you need for estimating traffic metrics.

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Valueable Tracking Metrics

Travel Time and Speed

SMATS offers valuable insights on travel time and speed with the ability to analyze real-time and historical travel time data using travel time sensors, connected car, and crowdsourced data.

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Signal Performance Measures

Capture intersection delay, Level of Service (LOS), arrival on green, split failure percentage and quality of signal progression with no hardware or road sensors using connected car data.

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Count and Classification

Radar sensors capture real-time traffic count and classification data. Detect up to 256 vehicles simultaneously and sort them into seven object classifications.

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