Innovating Works
DT-ART-05-2020
DT-ART-05-2020: Efficient and safe connected and automated heavy-duty vehicles in real logistics operations
Specific Challenge:Connected and automated driving systems for heavy commercial vehicles have great potential to bring a disruptive change to the trucking industry, fleet operators and the whole logistics sector. They can improve safety and efficiency of freight transport and make vehicle operations more comfortable. Fuel efficiency gains can be achieved through automated truck operations, such as platooning. Various automated trucks and truck platooning concepts are being tested in several countries. Positive impacts can be expected when highly automated systems will be used in logistics operations going from hub to hub including both operations in mixed traffic and in confined areas.
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Europeo
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Specific Challenge:Connected and automated driving systems for heavy commercial vehicles have great potential to bring a disruptive change to the trucking industry, fleet operators and the whole logistics sector. They can improve safety and efficiency of freight transport and make vehicle operations more comfortable. Fuel efficiency gains can be achieved through automated truck operations, such as platooning. Various automated trucks and truck platooning concepts are being tested in several countries. Positive impacts can be expected when highly automated systems will be used in logistics operations going from hub to hub including both operations in mixed traffic and in confined areas.

There are a number of specific challenges that need to be addressed before connected, cooperative and automated driving technologies for heavy commercial vehicles can be widely deployed: vehicle technologies, driver/user interaction/collaboration, vehicle-to-vehicle and vehicle-to-infrastructure communication, operational challenges in confined areas (ports, logistics terminals, consolidation centres, truck parkings, etc.) and in mixed traffic on public roads.


Scope... ver más

Specific Challenge:Connected and automated driving systems for heavy commercial vehicles have great potential to bring a disruptive change to the trucking industry, fleet operators and the whole logistics sector. They can improve safety and efficiency of freight transport and make vehicle operations more comfortable. Fuel efficiency gains can be achieved through automated truck operations, such as platooning. Various automated trucks and truck platooning concepts are being tested in several countries. Positive impacts can be expected when highly automated systems will be used in logistics operations going from hub to hub including both operations in mixed traffic and in confined areas.

There are a number of specific challenges that need to be addressed before connected, cooperative and automated driving technologies for heavy commercial vehicles can be widely deployed: vehicle technologies, driver/user interaction/collaboration, vehicle-to-vehicle and vehicle-to-infrastructure communication, operational challenges in confined areas (ports, logistics terminals, consolidation centres, truck parkings, etc.) and in mixed traffic on public roads.


Scope:The focus of this topic is to develop, test and demonstrate connected and automated systems for heavy commercial vehicles in real logistics operations.

Proposed actions should include all the following aspects:

Identify logistics operational needs and analyse new, emerging business and operating models and related technologies for efficient, high capacity and safe connected and automated heavy commercial vehicles (preferably low-emission vehicles) and optimised links with other parts in the logistics chain.Develop, design, test and validate enhanced connected and automated vehicle technologies for heavy commercial vehicles for improved perception and localisation, vehicle control, connectivity (vehicle-to-vehicle, vehicle-to-cloud and vehicle-infrastructure), system resilience and dependability, functional safety, cyber security, interoperability and system cost optimization, reduced emissions and fuel consumption at fleet level.Test and demonstrate innovative, efficient and safe connected and automated heavy commercial vehicles for real logistics operations on hub-to-hub corridors, on open roads in mixed traffic or in confined areas addressing mixed traffic capabilities to prepare for operation in real road conditions..Enhanced interaction between connected and automated heavy commercial vehicles and their users and other (vulnerable) road users. Innovative services for automated freight logistics of individual transport units. A cost-benefit analysis will demonstrate the added value and economic viability of automated systems in real logistics operations for users and stakeholders.

The active involvement of shippers, freight forwarders and truck manufacturers is strongly encouraged. The cooperation with organisations linked to actions of the TEN-T network is encouraged.

In line with the Union's strategy for international cooperation in research and innovation, international cooperation is encouraged. In particular, proposals should foresee cooperation with projects or partners from the US, Japan, South Korea, Singapore and/or Australia. Proposals should foresee twinning with entities participating in projects funded by US DOT to exchange knowledge and experience and exploit synergies. Twinning with Japan is also encouraged.

The Commission considers that proposals requesting a contribution from the EU between EUR 15 and 20 million 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 are expected to contribute to the accelerated deployment of innovative connected and automated freight transport solutions in Europe. Actions will show that they will help to increase the overall safety and efficiency of freight operations of individual trucks or fleets (emissions/freight ratio, fuel consumption, road occupancy, vehicle utilization, capacity of transport network) in confined areas and in mixed traffic (hub to hub) through innovative connected and automated driving systems. Actions will show the uptake of new business models and seek to reach a total cost reduction of operations and logistics and supply chain leading to improved competitiveness of the European transport and logistics industry.


Cross-cutting Priorities:International cooperation


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Temáticas Obligatorias del proyecto: Temática principal:

Características del consorcio

Ámbito Europeo : La ayuda es de ámbito europeo, puede aplicar a esta linea cualquier empresa que forme parte de la Comunidad Europea.
Tipo y tamaño de organizaciones: El diseño de consorcio necesario para la tramitación de esta ayuda necesita de:

Características del Proyecto

Requisitos de diseño: Duración:
Requisitos técnicos: Specific Challenge:Connected and automated driving systems for heavy commercial vehicles have great potential to bring a disruptive change to the trucking industry, fleet operators and the whole logistics sector. They can improve safety and efficiency of freight transport and make vehicle operations more comfortable. Fuel efficiency gains can be achieved through automated truck operations, such as platooning. Various automated trucks and truck platooning concepts are being tested in several countries. Positive impacts can be expected when highly automated systems will be used in logistics operations going from hub to hub including both operations in mixed traffic and in confined areas. Specific Challenge:Connected and automated driving systems for heavy commercial vehicles have great potential to bring a disruptive change to the trucking industry, fleet operators and the whole logistics sector. They can improve safety and efficiency of freight transport and make vehicle operations more comfortable. Fuel efficiency gains can be achieved through automated truck operations, such as platooning. Various automated trucks and truck platooning concepts are being tested in several countries. Positive impacts can be expected when highly automated systems will be used in logistics operations going from hub to hub including both operations in mixed traffic and in confined areas.
¿Quieres ejemplos? Puedes consultar aquí los últimos proyectos conocidos financiados por esta línea, sus tecnologías, sus presupuestos y sus compañías.
Capítulos financiables: Los capítulos de gastos financiables para esta línea son:
Personnel costs.
Los costes de personal subvencionables cubren las horas de trabajo efectivo de las personas directamente dedicadas a la ejecución de la acción. Los propietarios de pequeñas y medianas empresas que no perciban salario y otras personas físicas que no perciban salario podrán imputar los costes de personal sobre la base de una escala de costes unitarios
Purchase costs.
Los otros costes directos se dividen en los siguientes apartados: Viajes, amortizaciones, equipamiento y otros bienes y servicios. Se financia la amortización de equipos, permitiendo incluir la amortización de equipos adquiridos antes del proyecto si se registra durante su ejecución. En el apartado de otros bienes y servicios se incluyen los diferentes bienes y servicios comprados por los beneficiarios a proveedores externos para poder llevar a cabo sus tareas
Subcontracting costs.
La subcontratación en ayudas europeas no debe tratarse del core de actividades de I+D del proyecto. El contratista debe ser seleccionado por el beneficiario de acuerdo con el principio de mejor relación calidad-precio bajo las condiciones de transparencia e igualdad (en ningún caso consistirá en solicitar menos de 3 ofertas). En el caso de entidades públicas, para la subcontratación se deberán de seguir las leyes que rijan en el país al que pertenezca el contratante
Amortizaciones.
Activos.
Otros Gastos.
Madurez tecnológica: La tramitación de esta ayuda requiere de un nivel tecnológico mínimo en el proyecto de TRL 5:. Los elementos básicos de la innovación son integrados de manera que la configuración final es similar a su aplicación final, es decir que está listo para ser usado en la simulación de un entorno real. Se mejoran los modelos tanto técnicos como económicos del diseño inicial, se ha identificado adicionalmente aspectos de seguridad, limitaciones ambiéntales y/o regulatorios entre otros. + info.
TRL esperado:

Características de la financiación

Intensidad de la ayuda: Sólo fondo perdido + info
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1. Eligible countries: described in Annex A of the Work Programme.
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 Annex B and Annex C of the Work Programme. 
 
Proposal page limits and layout: please refer to Part B of the proposal template in the submission system below.
 
3. Evaluation:
Evaluation criteria, scoring and thresholds are described in Annex H of the Work Programme.  
Submission and evaluation processes are described in the Online Manual.
 
4. Indicative time for evaluation and grant agreements:
Information on the outcome of evaluation (single-stage call): maximum 5 months from the deadline for submission.
Signature of grant agreements: maximum 8 months from the deadline for submission.
 
5. Proposal templates, evaluation forms and model grant agreements (MGA):
Innovation Action:
Specific provisions and funding rates
Standard proposal template
Standard evaluation form
General MGA - Multi-Beneficiary
Annotated Grant Agreement
 
 6. Additional provisions:
Horizon 2020 budget flexibility
Classified inf...
1. Eligible countries: described in Annex A of the Work Programme.
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 Annex B and Annex C of the Work Programme. 
 
Proposal page limits and layout: please refer to Part B of the proposal template in the submission system below.
 
3. Evaluation:
Evaluation criteria, scoring and thresholds are described in Annex H of the Work Programme.  
Submission and evaluation processes are described in the Online Manual.
 
4. Indicative time for evaluation and grant agreements:
Information on the outcome of evaluation (single-stage call): maximum 5 months from the deadline for submission.
Signature of grant agreements: maximum 8 months from the deadline for submission.
 
5. Proposal templates, evaluation forms and model grant agreements (MGA):
Innovation Action:
Specific provisions and funding rates
Standard proposal template
Standard evaluation form
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
Members of consortium are required to conclude a consortium agreement, in principle prior to the signature of the grant agreement.
 
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. See the Online Manual.
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:
1. Introduction WP 2018-20
11. Smart, green and integrated transport WP 2018-20
18. Dissemination, Exploitation and Evaluation WP 2018-20
General annexes to the Work Programme 2018-2020
Legal basis: Horizon 2020 Regulation of Establishment
Legal basis: Horizon 2020 Rules for Participation
Legal basis: Horizon 2020 Specific Programme
 
Garantías:
No exige Garantías
No existen condiciones financieras para el beneficiario.

Información adicional de la convocatoria

Efecto incentivador: Esta ayuda tiene efecto incentivador, por lo que el proyecto no puede haberse iniciado antes de la presentación de la solicitud de ayuda. + info.
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Meses de respuesta:
Muy Competitiva:
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No conocemos el presupuesto total de la línea
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