Use of a dependency table exhibiting at least two data sets (DP1, DP2, DP3, DP4), preferably exhibiting at least 50 data sets (DP1, DP2, DP3, DP4), particularly preferably exhibiting at least 200 data sets (DP1, DP2, DP3, DP4), wherein each data set (DP1, DP2, DP3, DP4) exhibits at least one input quantity of a soiling process, in particular a distance travelled by a motor vehicle between a first availability and a second availability and/or an operating time by covering the distance travelled by the motor vehicle between the first availability and the second availability, and/or a driving speed of the motor vehicle, preferably a course of the driving speed along a route between the first availability and the second availability, and/or a process quantity (140, 141, 142, 143, 144, 145, 146, 147), preferably a humidity, particularly preferably a course of the humidity along the route between the first availability and the second availability, and/or a temperature in the vicinity of the motor vehicle, particularly preferably a course of the temperature along the route between the first availability and the second availability, and/or a rainfall, particularly preferably a course of the rainfall along the route between the first availability and the second availability, and/or a snowfall quantity, particularly preferably a course of the snowfall quantity along the route between the first availability and the second availability, and/or a vehicle type and/or a coordinate of the motor vehicle, preferably the coordinate of the motor vehicle along the route between the first availability and the second availability, and/or the first availability of the sensor (50, 52, 54, 56, 56a, 56b, 58), and an evaluated change of availability, stored in an ordered manner with reference to one another, to determine an expected availability at a distance or an operating time of the motor vehicle yet to be covered by - selection of the data set (DP1, DP2, DP3, DP4) from the dependency table that best matches the input quantity, in particular the distance or the operating time of the motor vehicle yet to be covered, and determination of the expected availability starting from an actual availability, or - means of linear interpolation between the adjacent data sets (DP1, DP2, DP3, DP4) of the dependency table that best match the input quantity, in particular the distance or the operating time of the motor vehicle yet to be covered, and determination of the expected availability starting from the actual availability. a dependency table exhibiting at least two data sets (DP1, DP2, DP3, DP4), preferably exhibiting at least 50 data sets (DP1, DP2, DP3, DP4), particularly preferably exhibiting at least 200 data sets (DP1, DP2, DP3, DP4), wherein each data set (DP1, DP2, DP3, DP4) exhibits at least one input quantity of a soiling process, in particular a distance travelled by a motor vehicle between a first availability and a second availability and/or an operating time by covering the distance travelled by the motor vehicle between the first availability and the second availability, and/or a driving speed of the motor vehicle, preferably a course of the driving speed along a route between the first availability and the second availability, and/or a process quantity (140, 141, 142, 143, 144, 145, 146, 147), preferably a humidity, particularly preferably a course of the humidity along the route between the first availability and the second availability, and/or a temperature in the vicinity of the motor vehicle, particularly preferably a course of the temperature along the route between the first availability and the second availability, and/or a rainfall, particularly preferably a course of the rainfall along the route between the first availability and the second availability, and/or a snowfall quantity, particularly preferably a course of the snowfall quantity along the route between the first availability and the second availability, and/or a vehicle type and/or a coordinate of the motor vehicle, preferably the coordinate of the motor vehicle along the route between the first availability and the second availability, and/or the first availability of the sensor (50, 52, 54, 56, 56a, 56b, 58), and an evaluated change of availability, stored in an ordered manner with reference to one another, to determine an expected availability at a distance or an operating time of the motor vehicle yet to be covered by - selection of the data set (DP1, DP2, DP3, DP4) from the dependency table that best matches the input quantity, in particular the distance or the operating time of the motor vehicle yet to be covered, and determination of the expected availability starting from an actual availability, or - means of linear interpolation between the adjacent data sets (DP1, DP2, DP3, DP4) of the dependency table that best match the input quantity, in particular the distance or the operating time of the motor vehicle yet to be covered, and determination of the expected availability starting from the actual availability. - selection of the data set (DP1, DP2, DP3, DP4) from the dependency table that best matches the input quantity, in particular the distance or the operating time of the motor vehicle yet to be covered, and determination of the expected availability starting from an actual availability, or - means of linear interpolation between the adjacent data sets (DP1, DP2, DP3, DP4) of the dependency table that best match the input quantity, in particular the distance or the operating time of the motor vehicle yet to be covered, and determination of the expected availability starting from the actual availability.