Patented Technology
We make public works jobs easier through the latest technology.
Pavement Condition Rating Method
Patent No.: US 12,026,869 B2
Date of Filed: July 2, 2021
This is our unique approach to conduct pavement condition assessment leveraging the image detection and machine-learning technology.
How SPM Works
3 Easy Steps
1
Data Collection
Leveraging our patented technologies and advanced AI systems, we conduct comprehensive surveys of your roads' pavement condition.
2
Data Processing
Our AI utilizes advanced algorithms to process your data, and our in-house engineers verifies and checks everything for accuracy.
3
Data Summary
Data is aggregated and delivered to you for enabling better decision making and project planning of your pavement rehabilitation plan.
Key Features
SPM-PCI
SPM-PCI is NEXCO’s proprietary index system. Like Pavement Condition Index (PCI) using the ASTM 6433 standard, it is a numerical index between 0 and 100, which indicates the general condition of the surveyed pavement. SPM-PCI has a statistically significant correlation with PCI.
Deterioration Prediction
Using a standard deterioration curve, SPM provides a prediction of future pavement conditions as an add-on feature of SPM-PCI.
SPM-IRI
SPM-IRI is a simplified readability index leveraged by machine-learning technology. Based on the bump data recorded during data collection, NEXCO's provides a roughness index.
Budget Simulation and Repair Planning
Based on SPM-PCI and the predictive feature, our algorithm automatically offers a simulation of different budget scenarios over the years. The algorithm suggests the optimal combination of repair segments based on our mathematical model. Also, the segments located in an area where many others require the same maintenance category gain higher weights in the calculation to make the suggested work plan efficient and realistic. This entire process is designed to mimic the considerations of the engineers who conduct maintenance planning manually.
