Project description
Artificial intelligence for safer driving
Big Data is paving the way for safer, smarter and environmentally friendly driving based on machine learning and artificial intelligence (AI) algorithms. The EU-funded Road Lifeguard project presents Enerfy, a pioneering AI-technology developed by high-tech company Greater Than. Its aim is to improve driving behaviour, reduce CO2 emissions and prevent car accidents. The technology consists of the installation of an on-board diagnostics device that transmits real-time driving data to the cloud-based AI platform while driving. The data is analysed and compared to the platforms of, currently, more than 800 million past driving situations, identifying the level of driving risk per second. What’s more, the technology is geo-independent and applicable worldwide, allowing numerous applications in a wide range of sectors.
Objective
Greater Than is a high-tech company that has been working with connected cars since 2004, providing AI based risk insights and digital insurance solutions. Created by a team with extensive experience from the automotive industry and the telecom market, we wanted to see what happens when user-generated data was extracted from the driver to use in real-time. By starting to harness driving data at an early stage of the Big Data era, we have gained extensive experience in using driving data and Artificial Intelligence to create services that contribute to safer, smarter and more environmentally friendly driving. This is done by Machine Learning, and self-learning AI algorithms. Our flagship product, Enerfy, produces unparalleled results. Driving behavior improves by up to 50% in a matter of months, CO2 emissions reduce by up to 26% and car accidents by 40%.
Users of the innovation connect an On-Board Diagnostics device (an OBD reader) to the car’s port. While driving, the device transmits driving data - such as curvature, acceleration and speed - to the cloud where our AI analyzes real-time data in comparison with its database of 500 million past driving situations. Our method – protected by 7 registered patents – achieves a risk assessment accuracy of 99.98%. The technology is geo-independent and applicable everywhere in the world. As a result of this, Enerfy was acknowledged as the global standard to measure safe driving by the world’s number one promoter of road safety: the FIA (Fédération Internationale de l'Automobile).
The ability to profile users’ driving risk has found numerous applications. Insurers, OEMs, fleets and motor organizations benefit from diminished driving risk. End-users enjoy a gamified phone application which displays each trips’ risk in a score format, provides personalized tips for safer driving and enables insurance premium discounts.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences databases
- natural sciences computer and information sciences data science big data
- engineering and technology mechanical engineering vehicle engineering automotive engineering
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.3. - PRIORITY 'Societal challenges
MAIN PROGRAMME
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H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
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H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
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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.
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.
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.
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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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.
1000 BRUXELLES
Belgium
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.