Novel Common Vehicle Information Model (CVIM) for Future Automotive Vehicle Big Data Marketplaces
Johannes Pillmann, Christian Wietfeld, Adrian Zarcula, Thomas, Raugust, Daniel Calvo Alonso

TL;DR
This paper introduces a new open data model and marketplace architecture that enables cross-sector vehicle data services, demonstrated through prototypes for weather prediction and road quality monitoring.
Contribution
It presents the novel CVIM data model and a vehicle data marketplace architecture that facilitate brand-independent data sharing for diverse applications.
Findings
Prototype CVIM and marketplace successfully implemented
Demonstrated applicability in weather and road quality use-cases
Enables cross-sector vehicle data utilization
Abstract
Even though connectivity services have been introduced in many of the most recent car models, access to vehicle data is currently limited due to its proprietary nature. The European project AutoMat has therefore developed an open Marketplace providing a single point of access for brand-independent vehicle data. Thereby, vehicle sensor data can be leveraged for the design and implementation of entirely new services even beyond trafficrelated applications (such as hyper-local traffic forecasts). This paper presents the architecture for a Vehicle Big Data Marketplace as enabler of cross-sectorial and innovative vehicle data services. Therefore, the novel Common Vehicle Information Model (CVIM) is defined as an open and harmonized data model, allowing the aggregation of brand-independent and generic data sets. Within this work the realization of a prototype CVIM and Marketplace…
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