TOPIC : Big data in Transport: Research opportunities, challenges and limitations
|Publication date:||14 October 2015|
|Types of action:||CSA Coordination and support action|
|DeadlineModel: Opening date:||single-stage 20 September 2016||Deadline:||01 February 2017 17:00:00|
|Time Zone : (Brussels time)|
12 January 2017 15:46
Please note that from January 2017 Switzerland is associated to the whole Horizon 2020 programme instead of the previous partial association. This applies to all the grant agreements signed on 1 January 2017 and afterwards. For more information see the relevant Note on the Participant Portal.
Topic DescriptionSpecific Challenge:
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. These volumes of data, known also as "big data", have 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, the so‐called trend of big data has created a wide spectrum of challenges and opportunities in the field of transport research. Indicative areas of research in all transport modes 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.Scope:
In order to meet this challenge, proposals should address all following aspects:
―Identification of areas and contexts in which ICT investments and exploitation of data should be implemented. Examination of a series of different case studies and contexts throughout Europe, in order to provide useful information and suggestions on the prerequisites of successful big data implementation in the transport sector from a socio‐economic point of view.
―Identification of methodological issues and the development of necessary tools in order to allow for effective data mining and data exploitation.
―Analysis of the barriers and limitations of the transportation system to exploit big data opportunities. This point should address issues that range from technical to institutional. For example, many transportation agencies and authorities, transport industries, etc. may not consider profitable the investment in collecting and analysing big data, worrying also about the associated costs and risks of data collection and sharing.
―Examine the institutional and governmental issues and barriers concerning the application of big data in transport providing policy recommendations towards "data openness" and sharing. Issues of legitimacy and public acceptance (e.g. privacy, data security, etc.) are important and should be adequately addressed.
The Commission considers that proposals requesting a contribution from the EU of between EUR 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.Expected Impact:
Appropriate exploitation of big data can help policy makers at the EU, national and regional level, as well as relevant decision makers to take informed decisions. Better data can help transport authorities and industries to understand the behaviour of travellers and consumers, also in disaggregated groups (e.g. age and gender), provide targeted information and identify policy interventions.
Work under this topic is therefore expected to contribute to evidence–based decision making by improving knowledge on methodological and exploitation issues taking also into account economic and technical considerations.
It is also expected to contribute to an early identification of critical issues linked to privacy, data security, legal and institutional aspects. It may therefore facilitate the development of an appropriate legal framework for the collection and exploitation of big data in the area of transport.Cross-cutting Priorities:
Topic conditions and documents
Please read carefully all provisions below before the preparation of your application.
- List of countries and applicable rules for funding: described in part A of the General Annexes of the General Work Programme.
Note also that a number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon 2020 projects. See the information in the Online Manual.
- Eligibility and admissibility conditions: described in part B and C of the General Annexes of the General Work Programme.
Proposal page limits and layout: Please refer to Part B of the standard proposal template.
3.1 Evaluation criteria and procedure, scoring and threshold: described in part H of the General Annexes of the General Work Programme .
3.2 Submission and evaluation process: Guide to the submission and evaluation process
- Indicative timetable for evaluation and grant agreement:
Information on the outcome of single-stage evaluation: maximum 5 months from the deadline for submission.
Signature of grant agreements: maximum 8 months from the deadline for submission.
- Provisions, proposal templates and evaluation forms for the type(s) of action(s) under this topic:
Coordination and Support Action:
Specific provisions and funding rates
Proposal templates are available after entering the submission tool below
Standard evaluation form
H2020 General MGA -Multi-Beneficiary
Annotated Grant Agreement
- Additional provisions:
Horizon 2020 budget flexibility
Technology readiness levels (TRL) – where a topic description refers to TRL, these definitions apply.
Financial support to Third Parties – where a topic description foresees financial support to Third Parties, these provisions apply.
- Open access must be granted to all scientific publications resulting from Horizon 2020 actions.
Where relevant, proposals should also provide information on how the participants will manage the research data generated and/or collected during the project, such as details on what types of data the project will generate, whether and how this data will be exploited or made accessible for verification and re-use, and how it will be curated and preserved.
Open access to research data
The Open Research Data Pilot has been extended to cover all Horizon 2020 topics for which the submission is opened on 26 July 2016 or later. Projects funded under this topic will therefore by default provide open access to the research data they generate, except if they decide to opt-out under the conditions described in annex L of the Work Programme. Projects can opt-out at any stage, that is both before and after the grant signature.
Note that the evaluation phase proposals will not be evaluated more favourably because they plan to open or share their data, and will not be penalised for opting out.
Open research data sharing applies to the data needed to validate the results presented in scientific publications. Additionally, projects can choose to make other data available open access and need to describe their approach in a Data Management Plan.
- Projects need to create a Data Management Plan (DMP), except if they opt-out of making their research data open access. A first version of the DMP must be provided as an early deliverable within six months of the project and should be updated during the project as appropriate. The Commission already provides guidance documents, including a template for DMPs.
- Eligibility of costs: costs related to data management and data sharing are eligible for reimbursement during the project duration.
The legal requirements for projects participating in this pilot are in the article 29.3 of the Model Grant Agreement.
- Additional documents:
Applicants can find introductory remarks to the activities of this respective area of the call in the text of the H2020 Work Programme 2016-17 for Societal Challenge "Smart, green and integrated transport" which can be accessed by clicking in the link above.
- Flash Call Info - H2020-MG-2017-SingleStage-INEA en
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