Abstract: A method determines defective vehicles, wherein the defective vehicles are a subset of vehicles and the vehicles are divided into a plurality of vehicle types. Then method includes providing an expected value of a number of predefined messages to be sent for each vehicle type, and determining an actual value of a number of predefined messages sent for each vehicle. The method also includes determining a deviation value for each vehicle, wherein each deviation value is representative of a difference between the actual value for the vehicle and the expected value for a corresponding vehicle type. The method further includes determining a defective subgroup of defective vehicles depending on the deviation values, wherein the actual value for each vehicle of the defective subgroup is different from the expected value for each corresponding vehicle type.

Abstract: A method determines at least one defective vehicle that is a subset of a specified main set of vehicles and the vehicles are divided into vehicle types. The method includes determining data channel actual values which represent a respective quantity of transmitted data in a first data channel or a second data channel for at least one vehicle. The method also includes determining a vehicle-specific ratio value based on a ratio of a data channel actual value of the first data channel to a data channel actual value of the second data channel for the at least one vehicle. The method further includes determining a deviation value for the at least one vehicle, wherein each deviation value represents a deviation of the ratio value from a specified expected value for the vehicle type, and classifying whether the at least one vehicle is defective on the basis of the deviation value.

Abstract: A method determines defective vehicles, wherein the defective vehicles are a subset of vehicles and the vehicles are divided into a plurality of vehicle types. Then method includes providing an expected value of a number of predefined messages to be sent for each vehicle type, and determining an actual value of a number of predefined messages sent for each vehicle. The method also includes determining a deviation value for each vehicle, wherein each deviation value is representative of a difference between the actual value for the vehicle and the expected value for a corresponding vehicle type. The method further includes determining a defective subgroup of defective vehicles depending on the deviation values, wherein the actual value for each vehicle of the defective subgroup is different from the expected value for each corresponding vehicle type.