Project description
Co-operative mobility
AdaptIVe will enhance the performance and improve the acceptance of automated driving of cars and trucks. The project develops new and integrated automated functions to improve traffic safety by minimizing the effects of human errors and to enhance traffic efficiency by smoother flows and reduced congestion.The approach is based on a shared control concept, assuring proper collaboration between the driver and the automation system. This is realised using cooperative vehicle technologies, advanced obstacle sensors and adaptive schemes where the level of automation dynamically responds to the situation and driver status.The project will demonstrate and evaluate eight advanced vehicles – seven cars and one truck – with various combinations of automated functions. These implementations will be based on the needs of different environments and levels of traffic complexity, including motorways, urban scenarios and close-distance manoeuvres. Several common features developed in these vehicles will establish fundamental building blocks for the future exploitation of automated driving, in terms of architecture, fault-tolerance, and human factors. Communication technologies will be employed as a key enabler of highly automated schemes supporting cooperative traffic and improving road safety.In addition to the technological and ergonomic aspects, AdaptIVe will address important legal issues that might impact on the successful market introduction of automated systems; in particular product liability and road traffic laws. It will identify the legal implications for manufacturers and drivers and examine the need for corresponding changes in regulation.By demonstrating these results, AdaptIVe will significantly improve the knowledge base for automated driving and strengthen the position of European industries in the area of Intelligent Vehicles and road safety.
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.
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.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering control systems
- social sciences sociology industrial relations automation
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- social sciences psychology ergonomics
- social sciences law
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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.
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.
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.
FP7-ICT-2013-10
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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.
Coordinator
38440 Wolfsburg
Germany
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Participants (31)
30165 HANNOVER
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97209 Veitshochheim
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42119 Wuppertal
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70839 Gerlingen-Schillerhoehe
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97070 Wuerzburg
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10829 Berlin
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60488 Frankfurt Am Main
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52062 Aachen
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80809 Munchen
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Participation ended
52072 AACHEN
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65428 Ruesselsheim
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Participation ended
80992 MUENCHEN
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70372 Stuttgart
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51427 Bergisch Gladbach
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50735 Koln
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51147 KOLN
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36400 PORRINO PONTEVEDRA
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78300 POISSY
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92100 Boulogne Billancourt
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106 82 ATHINA
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10043 ORBASSANO
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38122 TRENTO
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10098 RIVOLI
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2595 DA DEN HAAG
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22100 Lund
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405 31 Goteborg
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405 08 Goteborg
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412 96 GOTEBORG
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LS2 9JT Leeds
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52074 Aachen
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405 08 Goteborg
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