CMT Launches StreetVision

Cambridge Mobile Telematics (CMT), the world’s largest telematics provider, today launched StreetVision, the first artificial intelligence (AI) platform that identifies road risk, makes roads safer, and measures countermeasure impact with advanced analytics. StreetVision helps transportation safety officials visualize and predict where crashes are most likely to occur, prioritize countermeasures, and rapidly assess results through an intuitive roadway safety dashboard.

As state and city transportation agencies work to make roads safer, they face limitations in the data they use to make decisions. Historical crash reports and periodic observational surveys can lag real-world conditions, undercount risky behaviors, and fail to show corridor-level trends. The Federal Highway Administration (FHWA) has recognized these challenges and has encouraged states and local agencies to use advanced technologies to plan and build safer, more cost-effective roadways.

StreetVision’s street-level visualization and analytics of risk across every roadway classification enable traffic engineers and planners, safety program managers, and public safety officials to access risk insights never before available, giving them the ability to design and implement more effective crash reduction measures in their communities. Built on CMT’s opt-in mobility safety network of anonymized and aggregated driving behavior insights from across the United States, StreetVision provides analytics on the behaviors behind crashes — phone distraction, speeding, hard braking, and aggressive cornering. 

“Just like DUI was in the past, distracted driving is under reported. Now with StreetVision, we can measure risky driving across Texas communities every day,” said Jim Markham, Director, Crash Data & Analysis Section, Traffic Safety Division, Texas Department of Transportation. “By getting us upstream of crashes — finding risks before they show up in crash reports — we can take action before the next crash happens.”

“With StreetVision, we now have analytics we never had before to measure risk on dangerous roadways and in work zones,” said Karson James, Highway Safety Behavioral Grants Program Manager at the Wyoming Department of Transportation. “The platform has helped us identify speeding hotspots and position more effective countermeasures, giving us faster, clearer insights to act before crashes happen.”

“Compared to roadside observation surveys, StreetVision gives us superior coverage and accuracy with distraction analytics across Washington,” said Staci Hoff, Research Director at the Washington Traffic Safety Commission. “We’re also able to use it for speed analytics without deploying trailers or installing sensors, which expands our reach while reducing costs. And with daily insights, we can measure the impact of countermeasures, like speed cameras in school zones, almost immediately.”

StreetVision is already being applied to tackle critical safety challenges:

• Measure patterns of risk: Analyze distraction, speeding, and aggressive driving trends across cities, counties, and other areas, and see how they change week to week or year to year. Agencies can also measure risks in sensitive areas like school zones, work zones, and pedestrian corridors.

• Identify the riskiest locations: Highlight corridors, intersections, and blind spots where risky driving is likely — even if crashes haven’t yet occurred. StreetVision flags hotspots near schools, hospitals, malls, and highway off-ramps where vulnerable road users face the most danger.

• Plan and implement countermeasures: Screen entire networks to determine which locations need attention, evaluate options such as new signals, signage, or lane markings, and monitor safety in active work zones and detours.

• Prove impact and support funding: Run before-and-after analyses to measure the effect of countermeasures, laws, or campaigns. Get the road risk evidence needed to secure Highway Safety Improvement Program (HSIP), Safe Streets and Roads for All (SS4A), or NHTSA grants, and to build stronger cases for countermeasures.