  We consider graph modeling for a knowledge graph for vehicle development,
with a focus on crash safety. An organized schema that incorporates information
from various structured and unstructured data sources is provided, which
includes relevant concepts within the domain. In particular, we propose
semantics for crash computer aided engineering (CAE) data, which enables
searchability, filtering, recommendation, and prediction for crash CAE data
during the development process. This graph modeling considers the CAE data in
the context of the R\&D development process and vehicle safety. Consequently,
we connect CAE data to the protocols that are used to assess vehicle safety
performances. The R\&D process includes CAD engineering and safety attributes,
with a focus on multidisciplinary problem-solving. We describe previous efforts
in graph modeling in comparison to our proposal, discuss its strengths and
limitations, and identify areas for future work.
