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Mantis is a cloud-based Intelligent Traffic Solution built around a unique algorithm which forecasts traffic evolution saving costs and reducing emissions

Project description

Be proactive rather than reactive with a pioneering intelligent traffic solution

Most of us have experienced the frustration of coming to a standstill in traffic, thanking our phone navigation systems for suggesting alternative routes and then getting stuck in another traffic jam with all the people who followed similar advice. Not only does this lead to increased emissions from cars idling or creeping along without going into third gear, but it also contributes to lost productivity. The Swedish SME Ximantis has come up with a pioneering algorithm to predict congestion up to half an hour before it occurs. The EU-funded Mantis project is helping the team bring its cloud-based intelligent traffic solution to the people who need it.

Objective

Anyone who has ever been stuck in a traffic jam knows the frustration of sitting still in a car on the road and waiting. For road users in metropolitan areas of Germany, France, UK and USA, according to a European study conducted in 2014, this happens on average 36 hours every year. Traffic congestion costs society billions of dollars every year in the form of fuel costs, lost productivity and impact on the environment and public health. In Europe alone, the annual price tag for congestions is €200 billion, which is approximately 2% of total GDP. The Cebr estimates that, every year, vehicle idling releases 15,434 kilotons of CO2 equivalent into the atmosphere across the UK, France, Germany and the US alone. Navigation systems (Google Maps, Waze, TomTom and others) reroute users after congestion is formed, observed and reported. By then, the information cannot meaningfully impact the gridlock. Their rerouting efforts, on the other hand, cause additional congestion on the suggested alternative routes. Mantis is a cloud-based Intelligent Traffic Solution built around a unique algorithm which forecasts traffic evolution using scalable parallelization. Analysing historical and real-time data, the Mantis application predicts future traffic congestion 30 minutes before they even happen. The algorithm relies on stochastic processes which, among other things, are responsible for modelling chaotic systems such as the stock market and the weather. Mantis is poised to disrupt the automotive navigation system market estimated to be valued at €22.6 billion in 2025.

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

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-1 - SME instrument phase 1

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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

XIMANTIS AB
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.

€ 50 000,00
Address
ALEXANDROS SOPASAKIS, KULLATORPEN 6
439 33 ONSALA
Sweden

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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
Södra Sverige Västsverige Hallands län
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.

€ 71 429,00
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