The Skagit County Sheriff’s Office in Washington state is using an AI-powered data platform to identify high-risk roadway and detect unsafe driving behaviors before crashes happen.
Cambridge Mobile Telematics’ (CMT) StreetVision platform combines driver data, smartphone records and contextual safety information to pinpoint crash-prone roads and intersections.
According to GoSkagit, the Skagit County Sheriff’s Office identified Highway 20 as the most hazardous roadway in Concrete, Wash., using data compiled by StreetVision.
The platform found drivers frequently sped as they entered the town of Concrete, where the speed limit drops, accelerated through a school zone and showed elevated levels of phone usage — a key indicator of distracted driving.
In response, the sheriff’s office launched targeted patrols along the corridor, resulting in 58 citations issued in a single hour, GoSkagit reported.
StreetVision platform is particularly focused on identifying elevated risk at intersections, which remain among the most dangerous areas on the roadway network.
According to the Federal Highway Administration (FHWA) , roughly one-quarter of all traffic fatalities and nearly half of all traffic injuries in the United States occur at intersections — a disproportionate share compared to the amount of roadway mileage intersections represent.
Traditional crash data alone cannot fully predict future incidents because risky driving behaviors typically emerge before collisions occur.
StreetVision combines crash outcomes with behavioral risk metrics, allowing agencies to proactively identify areas that may require safety improvements, enforcement strategies or infrastructure investments, according to a company press release.
“Every day, people are seriously injured or killed on the road,” said Tim Vogel, chief information officer at CMT. “This drives us to deliver new capabilities like Intersection Safety Insights and bring crash and fatality data together with behavioral risk, because the sooner agencies can see risk clearly and act, the more crashes we can prevent and lives we can save.”
Using artificial intelligence, the platform can identify and rank dangerous intersections based on observed driving behavior trends and flag locations showing early signs of emerging safety issues.
As state and local agencies continue working to improve roadway safety, tools like StreetVision are helping create more proactive, data-driven strategies plans to reduce risky driving behaviors and guide coordinated safety responses.
Sources: GoSkagit, Cambridge Mobile Telematics
