Call: Big data in Transport: Research opportunities, challenges and limitations
Programme | |
Type of Fund | Action programme |
Description of programme "Horizon 2020 - Societal Challenges " | A challenge-based approach will bring together resources and knowledge across different
fields, technologies and disciplines, including social sciences and the humanities. This will cover activities from research
to market with a new focus on innovation-related activities, such as piloting, demonstration, test-beds, and support for public
procurement and market uptake. Funding focuses on the following challenges:
|
Link | Link to Programme |
Description of programme "Smart, Green and Integrated Transport" | Within this programme Horizon 2020 will provide funding for a resource efficient transport that respects the environment, aims at a better mobility, less congestion, more safety and security, supports a global leadership for the European transport industry and targets a socio-economic and behavioural research and forward looking activities for policy making. |
Call | Big data in Transport: Research opportunities, challenges and limitations |
Description of call "Big data in Transport: Research opportunities, challenges and limitations" |
Technological developments, particularly related to the extended and expanding use of ICT in the transport sector, allow the collection of unprecedented volumes of data across all modes and transport systems. This big data has generated a strong interest in the transport research community as well as in the relevant industries and among policy makers. From freight transport and supply chain optimisation to evacuation modelling and crowd dynamics under extreme phenomena, and from short-term traffic forecasting to travel behavioural research and the use of social media for efficient transport operations, big data has created a wide spectrum of challenges and opportunities in the field of transport research. Indicative areas of research could, for example, cover travel behaviour (by incorporating in modelling processes heterogeneous sources of information), logistics and consumer preferences, network capacity planning and optimisation (e.g. in the case of toll roads), risk management, response to extreme weather events or other emergency situations. Disaggregated data analysis by users' groups (e.g. age, gender) will contribute to better focus specific needs and trends. At the same time, the collection and possible exploitation of big data pose a number of questions both in methodological terms as well as in legal, institutional and social ones, which need to be addressed. The main challenge is therefore to investigate the implications of the utilisation of big data in the transport field. |
Link | Link to Call |
Thematic Focus | Research, Industry, Infrastructure, Innovation, Technologies, Telecommunication, Transport |
Funding area | EU Member
States Candidate Countries Moldova Norway / Norge Switzerland / Schweiz / Suisse / Svizzera Others |
Origin of Applicant | EU Member States Albania / Shqipëria Bosnia and Herzegovina Iceland / Ísland Moldova Montenegro / Crna Gora/Црна Гора North Macedonia / Северна Македонија Norway / Norge Serbia / Сpбија Switzerland / Schweiz / Suisse / Svizzera Turkey / Türkiye Ukraine / Україна Oukraïna Others |
Eligible applicants | Education and Training Centres, Research Institution, Small and Medium Sized Enterprises, SMEs (between 10 and 249 employees), NGO / NPO, Start Up Company, University, Enterprise (more than 250 employees or not defined), Association |
Project Partner | Yes |
Project Partner Details | At least one legal entity established in an EU Member State or Horizon 2020 associated country. |
Recurring Call | No |
Type of Funding | Grant |
Financial details | The Commission considers that proposals requesting a contribution from the EU of between 0.5 and 1.5 million € each would allow this specific challenge to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals requesting other amounts. Funding rate: 100% |
Contact Details | Link to the National Contact Point Finder. |
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