Objectif 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. Champ scientifique social sciencessociologygovernancepublic servicesnatural sciencescomputer and information sciencesdata sciencebig datasocial sciencessocial geographytransportpublic transportnatural sciencescomputer and information sciencesartificial intelligencemachine learning Programme(s) H2020-EU.3.4. - SOCIETAL CHALLENGES - Smart, Green And Integrated Transport Main Programme H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT) H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument Thème(s) SMEInst-10-2016-2017 - Small business innovation research for Transport and Smart Cities Mobility Appel à propositions H2020-SMEInst-2016-2017 Voir d’autres projets de cet appel Sous appel H2020-SMEINST-1-2016-2017 Régime de financement SME-1 - SME instrument phase 1 Coordinateur KAROS Contribution nette de l'UE € 50 000,00 Adresse 10 RUE DE LA PAIX 75002 Paris France Voir sur la carte PME L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention. Oui Région Ile-de-France Ile-de-France Paris Type d’activité Private for-profit entities (excluding Higher or Secondary Education Establishments) Liens Contacter l’organisation Opens in new window Participation aux programmes de R&I de l'UE Opens in new window Réseau de collaboration HORIZON Opens in new window Coût total € 71 429,00
