Live pavement capture · Ann Arbor, MI
Ann Arbor's streets, already scored.
We ran survey-grade LiDAR and 360° cameras across downtown Ann Arbor, then let our AI score every segment automatically — Good pavement to Failed. This is a live look at what CYVL already sees on the ground: no login, nothing to install.
Click any street segment on the map to see its street name, condition, and PCI score.
Live capture · Downtown Ann Arbor
Loading captured network…
This is real Ann Arbor data, not a stock demo.
Every line below is an actual Ann Arbor pavement segment we captured and scored automatically — click any street to see its name, condition grade, and PCI. Picture the same objective score on every mile your agency manages, refreshed continuously instead of surveyed years apart.
Built for how Ann Arbor manages its right-of-way
You can't fix what you can't measure. We measure all of it.
Every paving dollar has to defend itself — which streets get rebuilt, which get preserved, and why.
CYVL scores the true condition of every street continuously, so your team can rank exactly what to rehabilitate first — objective ground truth, not a windshield survey.
Councils and residents want to see what each paving and reconstruction dollar actually buys.
CYVL turns condition data into ranked, defensible capital plans, so budget decisions rest on comparable numbers instead of anecdotes.
Sidewalks, ramps, signs, signals, and markings all have to be inventoried and kept to standard.
Every above-ground asset in the right-of-way is captured and geolocated automatically — the asset base your ADA and safety projects are designed from.
Investment should reach every neighborhood to the same standard, not just the ones that call in the most.
CYVL surveys every street to one consistent standard, so equity decisions rest on objective, comparable condition data.
Cities like yours
In Buffalo, CYVL gave Mayor Sean Ryan's “Pave It!” team ground truth on every street — turning a campaign promise into a data-backed paving plan across the whole city.
Read the Buffalo case study →Ann Arbor road conditions
Ann Arbor's roads, explained.
Plain-language answers about Ann Arbor's road conditions, worst streets, and how a modern, data-driven paving plan gets built.
How bad are the roads in Ann Arbor?
CYVL captured and automatically scored 852 pavement segments across a sample of downtown Ann Arbor using survey-grade LiDAR and 360° imagery. The average condition came in at 55.5 on the 0–100 Pavement Condition Index (PCI), and 454 segments rated Poor or worse. You can explore every scored street on the live Ann Arbor pavement map above — this is a downtown sample, not the full city network.
Which streets in Ann Arbor are in the worst condition?
CYVL scores every road segment individually instead of averaging a whole corridor, so the worst streets stand out immediately. On the live Ann Arbor map above, segments shaded orange to dark red are rated Poor, Very Poor, Serious, or Failed — click any segment to see its street name and exact PCI score. A full network scan would surface every deficient block the same way.
How does Ann Arbor build a data-driven paving plan?
A defensible paving plan starts with objective, network-wide condition data. CYVL scores the true condition of every street continuously — validated against the ASTM D6433 PCI standard — then turns those scores into ranked, multi-year capital plans. That lets Ann Arbor fix the worst first, preserve good pavement before it fails, and show councils and residents exactly what each paving dollar buys.
How does Ann Arbor assess road conditions without manual surveys?
Instead of sending a crew to walk or windshield-survey every street, a city mounts CYVL's sensor rig on an existing fleet vehicle and drives normal routes. The rig captures LiDAR and 360° imagery; CYVL's AI then builds a digital twin and auto-generates PCI scores plus a full right-of-way asset inventory — so the entire Ann Arbor network can be assessed in days and refreshed continuously instead of every few years.