Cities and Counties need accurate pavement condition data for their road network every year as an input into their pavement maintenance planning process. However, the inspection process is often time-consuming and entirely manual with Engineers hitting the streets on foot to visually inspect and record distress information manually. Mobile Mapping Systems fail to meet this need because LiDAR-based inspections do not have sufficient resolution and accuracy to meet industry standards. As well, data processing is typically manual and requires the user to have pavement engineering-based knowledge. Pavemetrics® LCMS®-4M MMS pavement sensor addon solves this problem by combining 3D triangulation technology with a fully automated workflow for reporting standards-compliant pavement condition scores ready for upload into city and county Pavement Management Systems (PMS).
Fully Automated Standards-Compliant Workflow
Pavemetrics® has developed a fully automated workflow that generates industry-standard condition ratings ready for use in your, or your client’s, pavement management software (PMS).
Automated detection and quantification includes: cracking (including sealed), rutting, potholes, patches, pavement markings and manholes and storm drains.
Detailed results are reported along with PMS-ready overall condition scores according to the PASER and the PSCI standards. File output formats include JPEG, SHP (for GIS integration) and XML.
Simple to Deploy and Efficient to Use
The LCMS-4M is a single-sensor solution that can be easily added to your existing MMS platform and can receive positioning data from your existing GNSS and DMI (if equipped).
Operation is designed to avoid impact to existing mobile mapping operations and data collection speeds up to 95km/h (60mph) are supported, day or night.
Lane coverage is a full 4 meters (13.2 feet) and is fully compliant with the industry best practice of one pass per direction for pavement condition rating.
Key Features of the LCMS-4M
Simple installation and efficient field data collection that will not impact existing mobile mapping activities
Automatic detection and measurement of cracking (both sealed and unsealed)
Fully automated workflow from scan to PASER score, ASTM E3303 index and detailed distress
Automatic rutting measurement
Automatic pothole detection and measurement
Automatic detection and measurement of raveling (an industry first)
Automatic measurement of macro-texture (MPD, MTD) in all 5 AASHTO bands
Bleeding detection and measurement
Delamination detection and measurement
Shoving detection and measurement
Sewer and storm-drain detection and inventory
Rumble strip detection and inventory
Edge drop off and curb detection and measurement
Joint detection and faulting measurement
Pavement type detection (asphalt and concrete)
Pavement marking detection and dimension measurement
GPS tagging of measurements and images (using Customer-supplied GPS