RoadAI glossary

Specific location on the road network that is defined with one or several road network metadata values and a chainage value to create a unique combination.

Series of interconnecting parallel longitudinal cracks forming a pattern like the skin of an alligator.

User-generated markings or notes (text, audio, or picture) on a map.

Rectangular mend of road surface replaced with new material to repair the existing surface.

The basemap provides geographical context and content to the map. The RoadAI basemaps are: Light, Light terrain, Dark, Streets, and Satellite.

A possibly sticky film of asphalt binder that creates a smooth, shiny, reflecting surface appears on the road surface.

A modeled line corresponding to the center of a straight road used to measure distance. In RoadAI, it is used for determining the direction of the drive. The start and end points, and therefore the direction of the road, depend on how the road geometry is drawn.

By default, chainage will be zero at the start of a road segment. A metadata field in the road network geometry can be used to apply an offset to each road section, so that the chainage may be something other than zero at the start of a road segment.

Data visualized as a color-coded layer on top of Road network and Videos feature layers (road surface condition score, video age, structural distresses, and similar).

Mobile phone restricted for RoadAI data collection only.

The road experiences a decline in its condition or structural load-carrying capacity.

The severity of a distress is defined by its lateral extent (width relative to the road width).

Distresses like cracking, raveling, deformation, chippings, or potholes on the edge of the road (right or left edge deterioration).

Feature layers are used to display a variety of data on the map. The RoadAI feature layers include, for example, Road network, Annotations, and similar.

Path for pedestrian use.

Road surface treated to restore or enhance friction to reduce accidents. The coating provides extra friction and sustains a high level of friction over time, also on wet roads.

Wearing off of the high friction surface coating.

Data with string of coordinates that extend from point A to B with customizable length.

Load- or thermally-induced crevices on the road which are parallel to the centerline (from minor, under 1 cm, to moderate, about 1 cm, and severe, several centimeters).

Opening large enough for a person to pass through that is used as an access point for an underground vault or pipe covered by a removable plate forming the lid.

Data positioned with a single set of coordinates.

Loss of road surface material resulting in a bowl-shaped depression of varying severity.

Moderate raveling is the deterioration of pavement by loss of chippings and fine aggregate from the asphalt surface (original surface still visible). Severe raveling means a very rough surface and deep pits, chippings and the fine aggregate has eroded from the asphalt (original surface not visible anymore).

The road itself, and everything on and next to it, excluding buildings, people, cars, and trees. Road asset examples include guard rails, concrete borders, storm drains, manholes, safety bollards, surface markings, and similar.

A road network geometry is the shape and arrangement of the physical elements of a road system.

A file containing the information of the road network geometry (shapefile, GeoJSON, or similar).

Data associated with road segments as they are defined in the road network geometry. For example, road class, road surface type, address, and similar.

A unique stretch of road defined in the road network geometry. It goes from point A to point B (intersections, for example). It can be shorter or longer, depending on how it is defined in the geometry. It is a model of the road segment center line and consists of an ordered collection of points.

Road segments are split into regular road segment intervals to report shorter road segments (as opposed to whole road segments).

The visible top layer of the road analyzed by RoadAI. From left edge to right edge.

The condition class is a rating from 1 to 5, depending on the condition score. By default, 1 = 0-20%, 2 = 21-40%, etc.

The condition score indicates the overall condition of the road surface on a scale from 0 to 100. The higher the score, the better the condition.

Permanent, longitudinal surface depression that occurs in the wheel paths of a flexible asphalt road surface due to the passage of traffic, or possibly caused by weak asphalt mixture.

Cracks across or along the road that have been filled with specialized adhesive sealant to prevent the intrusion of water and incompressible material into the cracks and to reinforce the adjacent road surface.

Small fix of road distress by applying a tack coat of binder or other filler material directly into it to make it even with the rest of the road.

Storm drains divert water from the streets and other paved surfaces into the sewers.

Distress affecting the road structure. In RoadAI, it is a data overlay combining edge deterioration, alligator cracking and subsidence.

Localized depression of the asphalt producing a difference in level.

Distress affecting the road surface. In RoadAI, it is a data overlay combining moderate and severe transverse tracking, moderate and severe longitudinal cracking, binder bleeding and severe raveling.

Official information conveyed by markings on the road surface.

Labels attached to videos and point objects, such as traffic signs and annotations, for the purpose of identification or to give other additional information.

Third-party system into which RoadAI data (and data from other sources) is uploaded to achieve road maintenance work planning, budgeting, and deterioration modeling.

Load- or thermally-induced crevices on the road which are perpendicular to the center line (from moderate, about 1 cm, to severe, several centimeters).

Combined category of any sort of cracking on the wheel tracks.