ICT infrastructure to enable the transition towards road transport automation



Topic identifier: ART-01-2017
Publication date: 14 October 2015

Types of action: IA Innovation action
Planned opening date:
20 September 2016
2nd stage Deadline:
26 January 2017 17:00:00
27 September 2017 17:00:00

Time Zone : (Brussels time)

Horizon 2020H2020 website

Pillar: Societal Challenges
Work Programme Year: H2020-2016-2017
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Topic Description

Specific Challenge:Building on the rapid development of ICT technologies, cooperative ITS and more accurate and reliable satellite navigation and positioning, automated road transport will enable driving strategies which are safe, sustainable and efficient on the level of the whole transport system. There are still many ICT-related challenges to overcome, in particular those related to the connectivity required for advanced levels of road vehicle automation and the architecture of such a connected ICT infrastructure.

Scope:The focus will be on the development, testing and real-life validation of ICT infrastructure architectures, integrating state-of-the-art ICT technologies, systems and functions to enable the transition towards road vehicle automation (up to automation levels 3[1] and 4[2]). Proposals should bring together actors from automotive, IT and telecommunication industries as necessary to address one or several of the following areas:

―Functional and technical requirements for the required connectivity (V2V and V2I) for large-scale deployment of vehicle automation levels 3 and 4, by analysing the use cases for the deployment of stable and reliable connectivity over commercial telecom networks and over dedicated ITS spectrum. It is envisaged that both types of connectivity are needed for the deployment of large-scale automation. Proposers should address cyber-security aspects in depth.

―In relation to connectivity: architecture, functional and technical requirements for data generation, processing, storage and retrieval in the context of large-scale deployment of automation levels 3 and 4. Decision making processes needing data to operate vehicles and/or infrastructure should be distinguished from the provision of infotainment services and from other third party services. Regarding business models based on innovative, cross-sector use of data, proposers should address and analyse preconditions which might require public authority intervention. Proposers should address cyber-security aspects in depth.

―Tamper-proof in-vehicle platforms for automated vehicles building on and advancing the principles of cyber security for automated vehicles.

―Dynamic and accurate localisation and mapping, using cloud-based spatial data for highly automated driving (including sourcing, processing and information maintenance); accurate mapping and precise localisation based on European GNSS, using fully the capacity of vehicle connectivity and sensors and map data feedback loops; security of information enabling automated transport systems.

The Commission considers that proposals requesting a contribution from the EU of between EUR 5 to 15 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:Actions will address the ICT-infrastructure related challenges to enable the transition towards advanced levels of road vehicle automation.

As described in the specific challenge above, actions are expected to contribute to improved evidence-based knowledge of required ICT-infrastructure architectures. Actions are expected to demonstrate how issues such as analysis of costs (investment, operations and maintenance) and requirements for interoperability, latency, throughput, congestion strategies, data verification and data integrity are considered.

Actions are expected to demonstrate how they will provide concrete, evidence-based input feeding into standardisation processes (notably supporting interoperability and cyber security) and policy decisions (e.g. for spectrum policy).

Considerable progress will be made regarding real time control systems for automated driving.

Actions will contribute to more reliable processing of information for automated transport based on data fusion algorithms to combine V2V and V2X information with on-board sensor information.

Actions will contribute to opening up a services market, as well as advancing public interest applications based on data captured from automation processes concerning e.g. the driver, the vehicle and the journeys made.

[1]Level 3 – Conditional Automation – “the driving mode-specific performance by an automated driving system of all aspects of the dynamic driving task, with the expectation that the human driver will respond appropriately to a request to intervene”, according to the SAE International’s standard J3016.

[2]Level 4 – High Automation – “the driving mode-specific performance by an automated driving system of all aspects of the dynamic driving task, even if a human driver does not respond appropriately to a request to intervene”, according to the SAE International’s standard J3016.

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Topic conditions and documents

Please read carefully all provisions below before the preparation of your application.

  1. 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.
  2. 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. Evaluation

    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.

  4. Indicative timetable for evaluation and grant agreement:

    Information on the outcome of two-stage evaluation:
    For stage 1: maximum 3 months from the deadline for submission.
    For stage 2: maximum 5 months from the deadline for submission.
    Signature of grant agreements: maximum 8 months from the deadline for submission.

  5. Provisions, proposal templates and evaluation forms for the type(s) of action(s) under this topic:

    Innovation 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

  6. Additional provisions:

    Horizon 2020 budget flexibility

    Classified information

    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.

  7. 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.

  8. Additional documents



Submission Service

The submission system is planned to be opened on the date stated on the topic header.

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Get support

H2020 Online Manual your online guide on the procedures from proposal submission to managing your grant.


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