Periodic Reporting for period 1 - 5GMETA (Monetizing car & mobility data for new Entrants, Technologies and Actors)
Période du rapport: 2020-09-01 au 2022-06-30
Cars capture and generate huge volumes of data in real-time about the driving dynamics, the environment, and the driver and passengers’ activities. With the greater proliferation of connected and automated mobility applications, the value of data from vehicles is getting strategic not just for the automotive industry but in a wider scope, and not limited to the onboard systems and services.
5GMETA open platform aims to leverage car-captured data to stimulate, facilitate and feed with them 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 will realise 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 will focus on technology transfer activities performing different dissemination, tutorials and hackathons to incubators and clusters to capture attention of SMEs and high-tech start-ups with a platform leading to new opportunities in an incoming profitable market.
5GMETA open platform aims to leverage car-captured data to stimulate, facilitate and feed with them 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 will realise 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 will focus on technology transfer activities performing different dissemination, tutorials and hackathons to incubators and clusters to capture attention of SMEs and high-tech start-ups with a platform leading to new opportunities in an incoming profitable market.
The 5GMETA project follows an iterative approach based on Agile methodologies. Two iterations are planned aligned with the Reporting Periods. The main outputs of each iteration are:
• Release of the 5GMETA Platform.
• Use Case demonstrators to showcase the possibilities of the 5GMETA Platform.
• Hackathon to engage external actors and get feedback.
• Dissemination and exploitation activities.
The essential functionalities and building blocks are implemented in the first software release and the rest are added in the next cycle. The technical focus so far has been on:
• developing a functional release of the 5GMETA platform to be used by UC demos.
• developing essential UC demo building blocks.
• integrating 5GMETA platform Rel-1 with UC demos Rel-1.
• Release of the 5GMETA Platform.
• Use Case demonstrators to showcase the possibilities of the 5GMETA Platform.
• Hackathon to engage external actors and get feedback.
• Dissemination and exploitation activities.
The essential functionalities and building blocks are implemented in the first software release and the rest are added in the next cycle. The technical focus so far has been on:
• developing a functional release of the 5GMETA platform to be used by UC demos.
• developing essential UC demo building blocks.
• integrating 5GMETA platform Rel-1 with UC demos Rel-1.
Using 5G as a catalyst to create economic opportunities for new and innovative market actors is the core mission of 5GMETA. Thus, the innovation effort will be dedicated to progressing the state of the art on specific key aspects to give actual substance to this ambition. More specifically, 5GMETA will focus on progressing the state of the art on (1) CAM business models, (2) technology to support new business models, and (3) standardisation, regulation and policy. Therefore, new CAM business models will be identified that could be supported by the data platform developed in the framework of the project. In addition, 5GMETA will identify standardisation gaps, and it will produce recommendations and lessons learnt for authorities and policy makers.
Regarding the potential impacts of the project, 5GMETA will contribute 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 approaches energy efficiency from two angles. First, from the definition of SLA levels and the scalable 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. As an example, according to the OECD, 380 megatons of CO2 emissions generated in transport and logistics will be eliminated by autonomous cars.
Regarding the potential impacts of the project, 5GMETA will contribute 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 approaches energy efficiency from two angles. First, from the definition of SLA levels and the scalable 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. As an example, according to the OECD, 380 megatons of CO2 emissions generated in transport and logistics will be eliminated by autonomous cars.