Periodic Reporting for period 2 - 5GMETA (Monetizing car & mobility data for new Entrants, Technologies and Actors)
Período documentado: 2022-07-01 hasta 2024-02-29
5GMETA's open platform aims to leverage car-captured data to stimulate, facilitate and feed innovative products and services. The result of 5GMETA will empower the automotive ecosystem from industry players to new entrants, such as SMEs and high-tech start-ups granting access to interoperable car-captured data according to data licenses. The access to data coming from relevant geographical regions will catalyse the generation of new opportunities and business models coming from valuable services, where data liability and billing will rely on data flow subscription and volume consumption.
5GMETA expands 5G network functions to enable data monetization with a secure and private pipeline that manages data computing, dataflows according to service subscriptions and geographic queries. Therefore, 5GMETA’s objective is to create a flexible telematics platform for pipelining car-captured and generated data to traditional and new automotive industry players while ensuring data privacy, security, interoperability and ownership. 5GMETA flatten barriers to create innovative data-based CAM services and applications producing new revenue flows, reducing costs and enforcing safety for application users. 5GMETA has a business-driven design with APIs and architecture for fast prototyping, training, and operation of new services. 5GMETA intends to define a data monetization model compatible with OEMs, TIER1, SMEs and high-tech start-ups, and data licenses to keep users’ control and limit commercial and geographical use. 5GMETA has realised representative demonstrators in terms of data heterogeneity, value creation and business models to ensure that third parties and new players’ interests and requirements are considered beyond traditional automotive industries. 5GMETA has focused on technology transfer activities, performing different dissemination, tutorials and hackathons to capture the attention of SMEs and high-tech start-ups with a platform leading to new opportunities in an incoming profitable market.
- Open-source 5GMETA Platform: accessible from a public repository (https://github.com/5gmeta(se abrirá en una nueva ventana)) with an open-source license (European Union Public License v. 1.2).
- Open datasets: datasets generated by the project use cases are available in a public Zenodo repository (https://zenodo.org/communities/5gmeta/(se abrirá en una nueva ventana)) with a license that allows re-distribution and re-use (Creative Commons Attribution 4.0 International).
- Open-access publications: all the accepted peer-reviewed scientific articles of the project are available online for free, either with “green” open access (self-archiving) or “gold” open access.
- Public deliverables: 27 deliverables will be publicly available in CORDIS. This means that 79% of the project deliverables will be public.
- Public dissemination webinars: the recordings of the webinars are available on ERTICO’s YouTube channel (https://www.youtube.com/@ertico-itseurope(se abrirá en una nueva ventana)).
All these results will remain open and publicly available beyond the end of the project, ensuring that the knowledge, technology and data generated during the project will be available to the community.
Regarding the potential impacts of the project, 5GMETA has contributed to the path toward fully autonomous vehicles, developing a car data platform to feed future CAM services and applications exploiting data. Automated and progressively autonomous driving technologies, and smart mobility services are expected to eliminate the disutility of travel time, energy consumption, decouple parking locations from travellers’ origins and destinations, facilitate vehicle sharing and ride sharing, and break down the boundaries between public and private transportation.
In terms of sustainability, 5GMETA has approached energy efficiency from two angles. First, from developing a scalable and efficient architecture using edge/cloud systems. Second, a more efficient and automated transport will lead in the long term to improvements in energy consumption and reduction of emissions. According to the OECD, 380 megatons of CO2 emissions generated in transport and logistics will be eliminated by autonomous cars.