Project description
Raising automated vehicles users' acceptance for all transport modes
The use of advanced technologies in transport represents a new challenge for transport-related stakeholders. The EU-funded DriveToTheFuture project will prepare drivers, travellers and vehicle operators to adopt connected, cooperative and automated transport modes and the industry of these technologies to meet their needs and requirements. The project will model the behaviour of automated vehicle (AV) users, anticipate acceptance for several automated transport scenarios and develop specialised training tools. DriveToTheFuture will optimise human–machine interaction, apply multi-criteria analysis and business modelling and issue guidelines and policy recommendations, towards an automation user acceptance roadmap. Finally, the project will perform tests in 12 pilot sites across Europe, launch surveys and host three events, involving over 1 000 AV drivers/passengers, 200 AV operators and 20 000 citizens.
Objective
Drive2theFuture aims to prepare “drivers”, travelers and vehicle operators of the future to accept and use connected, cooperative and automated transport modes and the industry of these technologies to understand and meet their needs and wants. To achieve this, it models the behaviour of different automated vehicle “drivers” & prognoses acceptance for several automated driving scenarios, develops specialized training tools (3D automated scenarios for VR-goggles, web applications and social media platforms), content, optimized HMI for “driver”-vehicle handovers, CEA and MCA studies for selection of most favorable automated functions realisation and then demonstrates them in 12 Pilots across Europe,and in 3 major events. Pilots cover all automated transportation modes (Automated car, PTW, truck, bus, mini-bus, rail, workboat and drones) and involve driving/riding/rail simulators, VR/AR simulation toolkits, test tracks and real world environments, in which over 1000 AV drivers/passengers, 200 AV operators and 20000 involved citizens experience automation from few hours to 6 months. KPI’s, such as user acceptance, user awareness/appreciation of actual automated function performance (gap between expectations and reality), automated operation efficiency and cost effectiveness, are defined and will be followed through subjective and objective (conflicts analysis) tools. The automated vehicles “driver”/rider/operator behaviour will be modelled and due emphasis is given to cross fertilization issues among different modes. The project will also research relevant legal, ethical and operational issues (with strong user involvement through FIA and 4 of its Clubs, UITP and IRU), the interaction between automated vehicles and relevant MaaS and will issue guidelines, policy recommendations and a user acceptance path Roadmap to Automation. This challenging task is undertaken by 31 Partners from 13 European countries; through 10 interrelated workpackages, over 36 months.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
Keywords
Programme(s)
Topic(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
57001 Thermi Thessaloniki
Greece
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Participants (35)
58195 Linkoping
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0349 Oslo
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157 72 ATHINA
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00185 Roma
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1050 Bruxelles / Brussel
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48007 Bilbao
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77454 Marne-La-Vallee
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
75794 Paris
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10126 Torino
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10623 Berlin
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
010 26 Zilina
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00185 Roma
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
80686 Munchen
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70174 Stuttgart
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80333 Muenchen
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76131 Karlsruhe
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Participation ended
1000 Bruxelles / Brussel
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
69675 Bron
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2628 CD Delft
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1210 Wien
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1080 Bruxelles / Brussel
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
78000 Versailles
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56025 Pontedera
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75008 Paris
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
1000 Ljubljana
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AL7 3BT Welwyn Garden City
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02 518 Warszawa
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1031 Wien
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10623 Berlin
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5600 Faaborg
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
15772 ATHENS
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
20457 Hamburg
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08028 Barcelona
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1130 Bruxelles / Brussel
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1202 GENEVE
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