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From guardrails to potholes, AI is becoming the new eyes on America's roads
As America's aging roads fall further behind on much-needed repairs, cities and states are turning to artificial intelligence to spot the worst hazards and decide which fixes should come first. Hawaii officials, for example, are giving away 1,000 dashboard cameras as they try to reverse a recent
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AI-powered cameras mounted on cars and street sweepers are spotting road hazards and deciding what to fix first | Fortune
As America's aging roads fall further behind on much-needed repairs, cities and states are turning to artificial intelligence to spot the worst hazards and decide which fixes should come first. Hawaii officials, for example, are giving away 1,000 dashboard cameras as they try to reverse a recent
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Cities and states are turning to AI to improve road safety - The Economic Times
Cities and states in the United States are using AI to monitor and repair ageing roads. Hawaii, San Jose and Texas are adopting cameras and mobile data to detect hazards such as potholes, debris and damaged guardrails. These tools help officials prioritise repairs and improve safety more quickly
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US cities and states are implementing AI-powered systems using dashboard cameras, street sweeper-mounted sensors, and cellphone data to automatically detect road hazards like potholes and damaged guardrails. These technologies help prioritize repairs and improve traffic safety with 97% accuracy in identifying problems.

Hawaii is pioneering a comprehensive approach to road safety by distributing 1,000 free dashboard cameras to drivers as part of its "Eyes on the Road" campaign. The AI-powered dashcams, valued at $499 each, will automatically inspect guardrails, road signs, and pavement markings, instantly distinguishing between minor issues and emergencies requiring immediate maintenance crew deployment
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.The initiative comes as Hawaii faces a troubling surge in traffic fatalities, with 106 deaths recorded by October 2025—exceeding the entire 2024 total. The state's unique geographical challenges compound infrastructure maintenance difficulties, as University of Hawaii engineering professor Roger Chen explains: "Equipment has to be shipped to the island. There's a space constraint and a topography constraint they have to deal with, so it's not an easy problem"
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.The program, developed by Nextbase and Blyncsy, represents a shift from monthly manual inspections to continuous automated monitoring. Mark Pittman, CEO of Blyncsy, emphasizes the comprehensive nature of the system: "They're analyzing all guardrails in their state, every single day" .
San Jose, California, has demonstrated the practical effectiveness of AI road monitoring by achieving 97% accuracy in pothole identification using cameras mounted on street sweepers. The success has prompted city officials to expand the program to parking enforcement vehicles, creating a more comprehensive monitoring network
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.Mayor Matt Mahan, who founded two tech startups before entering politics, envisions a collaborative approach where cities contribute imagery to a shared AI database. This system would enable recognition of road problems based on previous encounters elsewhere, dramatically reducing response times. "We could wait five years for that to happen here, or maybe we have it at our fingertips," Mahan explained
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.San Jose officials helped establish the GovAI Coalition, which launched publicly in March 2024 to facilitate government collaboration on AI best practices and data sharing. The coalition includes local governments from California, Minnesota, Oregon, Texas, Washington, and the state of Colorado, representing a growing movement toward coordinated AI implementation in public infrastructure
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Texas, with more roadway lane miles than the next two states combined, has launched an ambitious AI-powered safety initiative combining cameras and cellphone data from enrolled drivers. The state recently utilized these tools to scan 250,000 lane miles, identifying outdated street signs requiring replacement—a task that would have been prohibitively time-consuming using traditional methods
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.Massachusetts-based Cambridge Mobile Telematics has developed StreetVision, a system that analyzes cellphone data to identify risky driving behaviors and correlate them with specific road conditions. Ryan McMahon, the company's senior vice president, discovered the system's practical value when it detected aggressive braking patterns caused by a bush obstructing a stop sign in Washington, D.C. "The solution to the infrastructure problem was a pair of garden shears," McMahon noted, highlighting how AI can identify simple fixes with significant safety impacts
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