Abstract: A method for determining a classification of a condition of a road surface for vehicle traffic includes: defining a reference surface of the road surface ahead; illuminating the reference surface with a light source on the vehicle; detecting light reflected off the reference surface; and determining classification of the condition of the road surface by analyzing detected information related to the reference surface. Furthermore, the method includes: illuminating the reference surface using laser or LED light; providing image information for the reference surface by detecting the reflected light with a Lidar unit; providing further image information for the reference surface by scanning the reference surface using an RGB sensor; and classifying the road surface by combining image information from the Lidar unit and the RGB sensor. The disclosure also relates to an arrangement for determining a classification of a condition of a road surface for vehicle traffic.

Abstract: A method and arrangement for collecting and processing data related to road status of a network of roads, include: collecting a first set of data from a plurality of vehicles indicating surrounding conditions in the vicinity of each vehicle; collecting a second set of data indicating the position of each vehicle; collecting a third set of data from the stationary data collecting unit indicating the surrounding conditions in the vicinity of the data collecting unit; transferring the first, second and third sets of data to a central server unit being associated with a storage medium; interpreting in the server unit, the first set of data in combination with the second and third set of data such that improved and local information related to road status for a coverage area of the data collecting unit is provided; and providing the information related to the road status to the user.