A computer-implemented method for condition monitoring of a vehicle, the method comprising: applying a dynamic model associated with a vehicle, the dynamic model having been determined by obtaining status information originating from at least one information bus of the vehicle, the status information providing real-time status information about the vehicle during the use of the vehicle, obtaining, based on vehicle identity information, vehicle dynamics information providing characteristics associated with the vehicle, obtaining map data representing road characteristics of roads of a geographical area, the map data comprising two-dimensional road map data, three-dimensional road map data associated with the roads, and road characteristics data, wherein the road characteristics data comprises at least one of road quality data, road irregularity data and data about local deviations associated with the road, analyzing behavior of the vehicle based on the status information and the vehicle dynamics information, and computing the dynamic model for the vehicle by comparing the behavior of the vehicle to the map data, the dynamic model enabling at least one of an estimation of the performance of the vehicle, observation of changes associated with the vehicle and observation of changes in driving conditions of the vehicle; analyzing historical changes in at least one calibration parameter associated with the dynamic model of the vehicle; analyzing effects of the three-dimensional road map data associated with the roads and the road characteristics data in at least one position on the behavior of the vehicle; and determining, based on the analyzed historical changes and the effects, at least one change in at least one vehicle characteristic. applying a dynamic model associated with a vehicle, the dynamic model having been determined by obtaining status information originating from at least one information bus of the vehicle, the status information providing real-time status information about the vehicle during the use of the vehicle, obtaining, based on vehicle identity information, vehicle dynamics information providing characteristics associated with the vehicle, obtaining map data representing road characteristics of roads of a geographical area, the map data comprising two-dimensional road map data, three-dimensional road map data associated with the roads, and road characteristics data, wherein the road characteristics data comprises at least one of road quality data, road irregularity data and data about local deviations associated with the road, analyzing behavior of the vehicle based on the status information and the vehicle dynamics information, and computing the dynamic model for the vehicle by comparing the behavior of the vehicle to the map data, the dynamic model enabling at least one of an estimation of the performance of the vehicle, observation of changes associated with the vehicle and observation of changes in driving conditions of the vehicle; obtaining status information originating from at least one information bus of the vehicle, the status information providing real-time status information about the vehicle during the use of the vehicle, obtaining, based on vehicle identity information, vehicle dynamics information providing characteristics associated with the vehicle, obtaining map data representing road characteristics of roads of a geographical area, the map data comprising two-dimensional road map data, three-dimensional road map data associated with the roads, and road characteristics data, wherein the road characteristics data comprises at least one of road quality data, road irregularity data and data about local deviations associated with the road, analyzing behavior of the vehicle based on the status information and the vehicle dynamics information, and computing the dynamic model for the vehicle by comparing the behavior of the vehicle to the map data, the dynamic model enabling at least one of an estimation of the performance of the vehicle, observation of changes associated with the vehicle and observation of changes in driving conditions of the vehicle; analyzing historical changes in at least one calibration parameter associated with the dynamic model of the vehicle; analyzing effects of the three-dimensional road map data associated with the roads and the road characteristics data in at least one position on the behavior of the vehicle; and determining, based on the analyzed historical changes and the effects, at least one change in at least one vehicle characteristic.