Objective
In Europe, 70% of commuters drive a car to go to work. In 90% of cases, regardless of the geographical area, the occupation ratio of a car for such commuting trips is 1:1. In the Paris region alone, this means that there are 40M seats that remain unused every day. Whilst, governments are focusing on spelling out policies to develop more sustainable urban mobility grids, the stunning success and strong growth of carpooling service websites, such as BlablaCar, Europe’s leader on long distance carpooling (growing from 3 to 10 millions of users Europe-wide), signals that the sharing-economy heralds a shift in consumer attitudes and could provide a solution to sustainable intra-city mobility. Yet, current solutions to facilitate are pooling are not-adapted to intra-city commutes. They are Geared to the Long-distance, Non-Intelligent/Automated, Inflexible and lacking critical mass: and Non-transparent.
KAROS is a smart mobility platform, leveraging big data technologies, Artificial Intelligence and algorithms. The strength of KAROS lies in its commercial approach. Unlike usual B2C carpooling services, KAROS operates in an indirect model to reach its end-users, by striking partnerships with companies (>500 employees), which partly subsidise the service, in order to offer more convenient and comfortable means of transportation to their employees, at lower costs. This in turn, enables KAROS to reach large numbers of users through each partnership, as they act a multipliers and strong communication channels to promote the service. Because of these unique advantages, since January 2016, with no marketing, KAROS now counts over 25K users, 3600 of whom are active on a weekly basis.The objective of the feasibility study is to prove technical and commercial viability, and to assess KAROS expansion in other EU Markets.
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.
- social sciences sociology governance public services
- natural sciences computer and information sciences data science big data
- social sciences social geography transport public transport
- natural sciences computer and information sciences artificial intelligence machine learning
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
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.
-
H2020-EU.3.4. - SOCIETAL CHALLENGES - Smart, Green And Integrated Transport
MAIN PROGRAMME
See all projects funded under this programme -
H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
See all projects funded under this programme -
H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
See all projects funded under this programme
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-1 - SME instrument phase 1
See all projects funded under this funding scheme
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-SMEInst-2016-2017
See all projects funded under this callCoordinator
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.
75002 Paris
France
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.