Road Surface Analysis: Your First Step to Proactive Roadway Management
Say Goodbye to Manual PCI Studies
Imagine a world where Transportation and Public Works teams no longer spend weeks conducting confusing and time-consuming PCI inspections.
Now, picture it being done from your desktop: faster, clearer, and fully automated.
Cyclomedia’s Road Surface Analysis (RSA) replaces traditional methods with high-resolution street-level imagery and LiDAR to detect and classify pavement defects by severity, extent, and type, aligned with ASTM, PASER, and AASHTO standards - all without ever setting foot on the road.
Key Benefits:
- Justify maintenance plans with objective, data-driven pavement scores and condition trends
- Optimize funding allocation with intelligent prioritization
- Support transparency by providing critical data to inform the public on which streets will be resurfaced - and why
Smarter Inspections. Objective Results.
Traditional on-site pavement inspections are time-consuming, costly, and often subjective, relying heavily on individual judgment that varies from one inspector to the next. However, by training AI on extensive datasets collected through our Road Surface Analysis, we’ve created a consistent, machine-driven “single set of eyes” that objectively evaluates road defects year after year. This eliminates human error and subjectivity from the equation.
Our AI automatically detects the type, severity, and extent of each pavement defect and assigns condition scores aligned with industry standards such as:
- ASTM D6433-07 – Pavement Condition Index (PCI) methodology
- PASER – Pavement Surface Evaluation and Rating
- AASHTO – Pavement performance and management guidance
This approach transforms road assessments into a standardized, repeatable, and cost-efficient process, enabling Public Works and Transportation departments to make smarter decisions, faster.
Building Accountability Into Your Pavement Preservation Strategy
A successful multi-year pavement preservation plan starts with consistent, high-quality data. With Cyclomedia’s RSA, you gain the ability to generate objective pavement condition insights after every capture, year after year.
Because the same AI algorithms analyze the same type of high-resolution imagery and LiDAR data each cycle, results are standardized, comparable over time, and ideal for tracking trends. This allows Public Works teams to measure whether their preservation strategy is truly improving pavement conditions.
- Prove impact over time with year-over-year PCI trends derived from ASTM-aligned evaluations
- Extend pavement life by treating roads early, when repairs are most cost-effective
- Maximize your budget by preserving 4 to 10 times more streets compared to reactive repairs
- Increase transparency by sharing objective, visual data with stakeholders and citizens
This data-driven approach doesn’t just support smarter decisions - it demonstrates that public funds are being used effectively and visibly improving roadway quality.
Past Webinars: "Road Surface Analysis for Smart Cities"
Watch the recordings of our RSA Webinars to:
- Get a high-level introduction to Cyclomedia's Road Surface Analysis product
- Learn how our unique collaboration between industry leaders results in a transformational product for our clients
- Understand how our RSA product can help a Smart City move towards a long term pavement preservation approach