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SOUTHPARK - SOcial and Universal Technology HelPing to detect ARrivals via sdK

Objective

predict.io has been set up as a company to address individual, as well as societal problems related to urban mobility and road congestion by building a smart, integrated, technology-based, easy to use system that renders the traffic more efficient thereby decreasing negative effects on humans and the environment while at the same time fulfilling today's need for fast and individualised urban mobility. The technology is based upon an elaborated set of algorithms that can detect on mobile devices when a user arrives at a location in order to improve different kinds of traffic and mobility apps.

The SOUTHPARK project is set up to fulfil two overall objectives:

First, predicto.io will integrate the technology, with its automated start and stop detection in different mobility apps (including parking apps). This will be achieved when the SDK generates at least 1 million mobility data points a day for real-time applications as well as business analytics. These efforts will cover countries across the European Union. The goal is to enable more convenient, more reliable, safer, environmentally friendlier, and efficient mobility solutions.

Second, the SOUTHPARK project will bring the arrival detection close to perfection. This will be reached by the reduction of localisation costs and implementation time. predcit.io will build up significant machine learning capacities that constantly improve the existing algorithms in order to provide faster, better anticipating, more adaptive and less battery consuming STOP detection. Fulfilling this objective will reduce the adaptation costs and time to localise to new settings by estimated 75%.

The outcome of the project will be an ensemble of algorithms that had been tested on large scale in the operational environment. The arrival detection can be used in various mobility use cases and provide data that helps city planners and public transport authorities to better plan the future of urban transportation.

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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.

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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-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-SMEInst-2014-2015

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Coordinator

PREDICT.IO GMBH
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.

€ 1 389 297,70
Address
ENGELDAMM 64 B
10179 BERLIN
Germany

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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
Berlin Berlin Berlin
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.

€ 1 984 718,56
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