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Home Products StreetVision: intersection risk analysis

StreetVision: intersection risk analysis

Cambridge Mobile Telematics, CMT, said its platform uses AI to analyse millions of high-frequency driving risk signals and predict where risk is concentrating at the street level.

by David Arminas
April 7, 2026
in Products
Reading Time: 2 mins read
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StreetVision uses AI and behavioural analytics to reveal risky driving hotspots before crashes happen, allowing road agencies to prioritise projects and select countermeasures (image courtesy Cambridge Mobile Telematics, CMT)

StreetVision uses AI and behavioural analytics to reveal risky driving hotspots before crashes happen, allowing road agencies to prioritise projects and select countermeasures (image courtesy Cambridge Mobile Telematics, CMT)

Cambridge Mobile Telematics, CMT, reports that its AI road safety platform called StreetVision can now analyse risk at the highway intersection level.

The company said that its StreetVision Intersections is the first system to fully integrate in a single platform federal and state crash records with telematics-based driving behaviour data such as speeding, hard braking, phone distraction and aggressive cornering.

According to the US Federal Highway Administration, intersections account for roughly 25% of all US traffic deaths and 50% of all traffic injuries, despite representing a small share of roadway mileage. These crashes are driven by a mix of risky behaviour that traditional crash data alone cannot fully explain.

StreetVision is entirely software-based; no cameras, sensors or roadside hardware is required. It’s built on CMT’s opt-in mobility safety network, where drivers collectively cover the entire US roadway system of 4.2 million miles (nearly 6.8 million kilometres) every 38 minutes. The platform uses AI to analyse millions of high-frequency driving risk signals and predict where risk is concentrating at the street level. The raw data is translated into anonymised, location-based insights stored in a geospatial database covering every roadway classification.

The insights appear as heatmaps, 3D stacked trend models and Google Maps Street View integrations. This gives agencies daily visibility into risk without relying on observational surveys, temporary speed trailers or manual data collection.

The new intersection capabilities enable agencies to identify and rank their intersections based upon observed risky driving behaviour. Agencies can zoom into the intersection to view specifically where the risky behaviour is occurring. They can also detect upward trends in intersection risk that may signal emerging safety issues. Agencies can measure the impact of intersection improvements with enhanced before-and-after analysis, supporting data-driven decision making and funding applications.

CMT said that its technology has helped prevent over 100,000 crashes worldwide. The company’s AI-driven platform, DriveWell Fusion, proactively identifies and reduces driving risk. CMT partners with insurers, automakers, commercial mobility companies and the public sector to measure risk, detect crashes, provide life-saving assistance, and streamline claims. CMT is based in the city of Cambridge in the US state of Massachusetts and operates globally with offices in Budapest, Chennai, Seattle, Tokyo and Zagreb.

Categories: Highway & Network Management

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