Since several years, the department MDF at Fraunhofer ITWM is investigating the analysis of geo-referenced data to support and improve the derivation of design loads as well as the assessment of energy efficiency by statistical reasoning. The approach is mainly motivated by the desire to understand usage variability and the resulting scatter in loads or fuel consumption, which is especially large for commercial vehicle fleets in different markets. Many parameters affecting the vehicle's performance are related to the environmental conditions it is exposed to. For instance, the road network including curves and slopes, road quality, or traffic density play an important role. Thus, collecting and analyzing such vehicle-independent data enables the characterization and comparison of different regions and markets in terms of its relevance for the vehicle. A further step is to apply simple vehicle substitute models to estimate the impact of the conditions within a region on the longitudinal, lateral, and vertical dynamics providing information for durability, reliability, and fuel consumption assessment. An implementation of the VMC concept for application in the truck industry is supported by a joint project with the truck manufacturers DAF-Trucks, Daimler, MAN Nutzfahrzeuge, SCANIA, and Volvo Trucks. We describe the database as well as the basic concepts for the evaluation of the data towards vehicle loads and fuel efficiency. A lot of challenging tasks such as describing and modeling road roughness, extrapolation of data, or estimating speed profiles are only briefly mentioned. We also give examples on how to use these concepts, for instance, for effectively planning a measurement campaign or for extrapolating conclusions drawn from real data in a region to another region where no measured data is available. Because of the rapidly growing availability of potentially relevant data such as traffic density and because of upcoming new requirements with respect to specific applications, we are continuously developing and extending the database as well as the collection of methods.