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AI boosting airport capacity

Project description

A smart solution to airport saturation

Large airports around the world are searching for ways to increase their capacity in order to meet the growing air transport demand. Adding more runways is one option, but this requires large expanses of land, which many airports do not have. The EU-funded SmartRunway project is developing an artificial intelligence-powered data platform to boost airport capacity. The aim is to increase the performance of an airport’s existing runways and to reduce emissions and environmental impact. Specifically, the new platform will draw 30 different data sources and formats, cleaned, anonymised, fused and ready to be used in different applications. The new platform will assist airport operators in making informed decisions based on real-time and reliable predictions.

Objective

In Europe, more than 15% of airport traffic arrives during peak periods, making airports operate at maximum capacity, restraining growth, holding airplanes in the air burning fuel accumulating delays. Air transport demand is expected to grow in the upcoming years with passengers and airlines primarily interested in travelling during peak periods, thus increasing the pressure on already congested airports, the airlines and the environment.

Our breakthrough Artificial Intelligence powered data platform, DataBeacon.aero enables better informed decisions regarding runway capacity through real-time, reliable predictions.

SmartRunway is a part of the DataBeacon.aero data platform and brings a revolution to how airport runways capacity is managed. Our technology will increase runway performance without costly new runways and reduce the emissions and environmental impact of the growing air transport.

Deploying services encompassing more than 30 different data sources and formats, automatically cleaned, anonymised and fused, ready to be used in different applications, we will disrupt several aviation processes beyond runway optimisation, including emissions and fuel optimisation, delay management and network operations.

Provided as-a-service, our tools are disruptive to the industry incumbents business models. No data-driven services exist amongst the current industry leaders, who sell expensive equipment development in long-cycles making innovation very difficult. Breaking these barriers requires a group of innovative early customers, already secured, and seed investment.

SmartRunway achieved the Seal of Excellence in a previous EIC Evaluation with a 13,40 score.

Fields of science (EuroSciVoc)

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Programme(s)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

SME-2 - SME instrument phase 2

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-EIC-SMEInst-2018-2020

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Coordinator

DATABEACON SL
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 660 987,13
Address
CALLE GENOVA 11 2D
28004 MADRID
Spain

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Comunidad de Madrid Comunidad de Madrid Madrid
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 2 372 838,75
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