We'll present the "digital driving license" project, which aims to establish standardization in the testing and assessment of autonomous vehicles. This is necessary to accelerate the use of self-driving cars in public spaces. Our 3D simulation methodology has been successfully used for training and assessment of human drivers since 2003. Data from more than 100,000 human drivers gives insight in driving skills and styles, and is useful as a reference for performance measurement of robot vehicles. We will share information about the library of use cases we are building to assess the software of autonomous vehicles without going on road, and the positive correlation we have seen between simulated driving behaviors and real world driving scenarios.