The COVESA Vehicle Data Model (VDM) is a prototype domain model designed for vehicle-related data. It leverages the GraphQL Schema Definition Language (SDL) to define data structures and adopts the Simplified Semantic Data Modeling (S2DM) approach.

[!NOTE] The use of S2DM and VDM does not imply the implementation of a GraphQL API. The SDL is chosen for its simplicity and effectiveness in formalizing domain-specific data with certain level of semantics.

Getting Started

• Watch the VDM introduction presentation to learn the basics and to understand its purpose.
• Get familiar with S2DM.
• Check out the how-to guides.

VDM scope

The SDL can be used to model various sub-domains related to vehicles. For example, the model can consits of:

• In-vehicle generated data (i.e., coming from sensor measurements)
• Person data
• Vehicle cloud services
• Tank or charging stations
• Other infrastructure
• In-cabin activities
• etc.

However, the exact scope of the VDM is still under discussion within the COVESA alliance. In general, the VDM is expected to cover only those sub-domains that member organizations can actively contribute to and maintain. For example, those that target standarization. Private projects can also adopt this modeling approach to manage sub-domains specific to their needs.

Checkout other branches which include provisional examples of what VDM could cover. Those that find agreement in COVESA will appear in the main branch.