Within weeks, East Bridgewater had a complete dataset covering 82 miles of roadway and an inventory of 1,677 signs, delivered on December 18, 2023, so projects could move from analysis to action without delay.
East Bridgewater faced growing pressure to explain road decisions while working from outdated or inconsistent data that made it hard to know which streets needed attention and when. Without a clear prioritization method, the team often found itself reacting to complaints and fielding the constant question, “Why not my road?” during town meetings. Budget planning was difficult to defend because staff lacked accurate, current condition information and a complete inventory of critical assets across the network.
East Bridgewater selected Cyvl to rapidly survey the entire street network using vehicle-mounted LiDAR and sensors, capturing high-resolution pavement data and a full inventory of signs in days. The data flowed into Cyvl’s Infrastructure Intelligence platform, where AI transformed raw measurements into defensible condition scores, prioritized repair lists, and exportable reports tailored for public works and finance leaders. With street-by-street insights and clear maps, the Town could build a comprehensive plan in less time, communicate decisions with confidence, and act faster on the highest-impact projects.
Within weeks, East Bridgewater had a complete dataset covering 82 miles of roadway and an inventory of 1,677 signs, delivered on December 18, 2023, so projects could move from analysis to action without delay. Rapid delivery collapsed the time between data collection and implementation, enabling quicker resurfacing, patching, and targeted signage upgrades that residents could feel on their daily trips. With defensible condition scores and prioritized work plans, the Town improved budget credibility, streamlined schedules, and made it easier to explain why each road was selected.