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Geographical coverage: EU
Available contribution per project EUR 2-3 M€ for a total budget for this topic of 3 M€
Type of action: Research and Innovation action
Deadlines:
Deadline Model : single-stage
The Fraunhofer CML has already gained experience in the exchange of data
between public infrastructure administrations and EU organizations in
previous projects. In national research projects, we are currently
developing data exchange solutions that meet the high current security
standards in data protection.
Lukasiewicz - Institute of Logistics
and Warehousing The Institute’s main areas of competence embrace
logistics and supply chain management including optimisation and designing of logistics
processes, transport systems, distribution networks, hubs and warehouses, etc.
A massive amount of data is already produced by the transport system and the trend is set to continue at an increasing pace. Optimal use of the available data is indispensable in order to advance towards an intelligent transport system that reduces congestion, environmental impact and increases safety.
On the
basic level, the challenge lies in ensuring that e.g. manufacturers, operators,
or authorities can properly take advantage of the data produced for the
improvement of their operations and services. Access to, reuse and storage of
data is not only important for private companies active in the transport
industry (business-to-business or B2B), but also for the public sector
(business-to-government or B2G) for a more evidence-based decision making and a
better public service delivery, such as transport safety or reduction of
pollution from all transport modes. It is of key importance to develop a clear understanding of
the areas where data exchange and digitalisation are required for improved
system effectiveness. In these areas, data to be used in transport models need to
be defined and harmonised. On a
more advanced level, in order to provide connectivity across the various
components of the multimodal transport system, enable innovation and emergence of
new business models, we need solutions for safe and secure collection, storage
and sharing of transport data (both operational and research) across various
actors and different transport modes.
The proposals should cover all following aspects:
The research will consolidate knowledge from the most important projects and initiatives implemented to date in the domain of transport data sharing. It will further build on that knowledge base by identifying new variables, requirements and standards necessary for a successful setting up data usage and sharing mechanisms in the transport sector (both passenger and freight).
Improved data sharing will help extract maximum value from the available transport big data, contribute to wider data sharing amongst the transport stakeholders, and lead to improved products and services. It will secure better understanding and opportunities for transport flow prediction and optimisation, which in turn will improve transport system effectiveness.
The outcomes of research will also lead to strengthening of the digital transport ecosystem by fostering the culture of trust and collaboration among the various stakeholders.