Cyvl, in collaboration with civil engineering firm Benesch, undertook a pilot project to scan a 1-mile roadway segment in Kansas City, Kansas, as part of a broader initiative covering various cities in Kansas and Missouri.
The challenge was finding a suitable way to collect comprehensive data on city infrastructure in a way that was efficient, accurate, and detailed.
This is essential for Benesch to effectively assist its municipal clients in managing their infrastructure assets.
The project utilized advanced tools, mobile LiDAR data, 2D and 360-degree imagery to extract pavement scoring systems ranging from 0 to 100 and catalog and geolocate ROW assets.
This technology-centric approach is able to provide an in-depth analysis of the city’s infrastructure, roadways, and roadside assets.
Benesch equipped its vehicle with Cyvl’s mobile LiDAR sensor to capture data of the city’s infrastructure. The focus was on collecting information on various assets such as traffic signals, curb cuts, traffic cameras, manhole covers, cross signals, street lights, fire hydrants, catch basins, telephone poles, and MUTCD signs.
1) Comprehensive Asset Collection:
2) Efficiency and Detail in Data:
3) Quality Assessment and Quality Check Results:
Cyvl and Benesch’s pilot project in Kansas City, Kansas serves as a testament to the effectiveness of modern technology in roadway and infrastructure assessment, setting a new standard for municipalities.