What happened
Somerville-based Cyvl now uses AI, cameras, and sensors mounted on vehicles to map and measure road conditions, identifying four types of defects like alligator cracking and informing repair decisions. The technology speeds data collection, reducing manual inspection time from 30 minutes per section to vehicle drives. Cyvl serves more than 500 customers across the United States and Australia, including the City of Boston. This partnership expanded with the launch of AskBoston.ai on Monday, allowing public queries on specific road conditions using Cyvl's real inspection data.
Why it matters
City infrastructure managers gain precise, real-time data for proactive maintenance, aiming to save money by avoiding catastrophic failures and optimising investment timing, per Boston's CIO. AI-driven data collection replaces slow, manual inspections, providing detailed defect identification and inventorying assets like signs and cameras. Procurement teams can prioritise repairs based on specific defect types and locations, ensuring equitable and timely infrastructure investments. This mechanism reduces reliance on complaints, shifting to a data-driven approach for urban planning.
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