GoodRoads provides pavement asset management software for municipalities.
GoodRoads offers a system that performs automated inspections of asphalt and concrete roads using device-mounted sensors to capture imaging and ride-quality data. The system computes standard condition scores (such as the Pavement Condition Index per ASTM D6433 and PASER) from the collected data. It also provides software tools to generate multi-year maintenance plans and manage roads and roadside assets through a desktop interface.
NCTech offers a service that collects high-resolution 360° street-level imagery and LiDAR data to document infrastructure assets in the field. It uses geospatial capture techniques to map the exact location, orientation, and status of items like signs, poles, utility boxes, sidewalks and more. The data collection process replaces many site visits by enabling desktop review of assets, and feeds into updating inventories and condition assessments with minimal manual input. The captured imagery and 3D data can be regularly refreshed so agencies can monitor change over time and integrate the outputs into GIS or asset-management systems.
cityROVER PULSE cityROVERPULSE for Pavement from CITYROVER uses a single vehicle-mounted camera to automatically collect data on roadways, then generates ratings, roughness scores, marking inventories and pavement failure lists. It delivers outputs such as PCI scores, IRI measurements, crack surveys and marking conditions without requiring manual inspection of each segment. The system is designed to support public-sector road planning by feeding the data into budgeting, lifecycle analysis, work planning and communication workflows.
Vialytics AI Road Condition Assessment Vialyticsvialytics provides an automated system for assessing road conditions using a smartphone mounted inside a vehicle. As the vehicle moves, the phone captures images at regular intervals, each tagged with GPS location and time. The software analyzes the images to detect multiple types of surface damage and assigns condition ratings to road segments. The results are displayed in a mapped interface that helps users identify problem areas and plan maintenance activities.
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