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Shape-IT

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Supporting the interaction of Humans and Automated vehicles Preparing for the E...

Supporting the interaction of Humans and Automated vehicles Preparing for the EnvIronment of Tomorrow The overall goal of this ETN is to enable rapid and reliable development of safe and user-centred automated vehicles (AVs) for urban environments.Vehicle automation has been identified as a game-changer in transport, promising sub... ver más

31/03/2024

CHALMERS TEKNISKA...

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

CHALMERS TEKNISKA HOGSKOLA AB No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 6 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2024-03-31

MSCA-ITN-2019: Innovative Training Networks

I+D

Cerrada hace 6 años

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No hay información privada compartida para este proyecto. Habla con el coordinador.

6 Participantes

CHALMERS TEKNISKA HOGSKOLA A...

563.97K€ | Lider

UULM

758.37K€ | Participante

TUM

505.58K€ | Participante

UNIVLEEDS

909.52K€ | Participante

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Duración del proyecto: 55 meses Fecha Inicio: 2019-08-09
Fecha Fin: 2024-03-31

Líder del proyecto

CHALMERS TEKNISKA HOGSKOLA AB No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The overall goal of this ETN is to enable rapid and reliable development of safe and user-centred automated vehicles (AVs) for urban environments.Vehicle automation has been identified as a game-changer in transport, promising substantial reductions in road-traffic fatalities while improving mobility. However, the processes to integrate automation in transport have been primarily technology-focussed, with insufficient consideration given to how users both inside and outside of the AVs will interact with AVs. The main objective of SHAPE-IT is to facilitate the safe, acceptable (and, ideally, desirable) integration of user-centred and transparent AVs into tomorrow’s mixed urban traffic environments, using both existing and new research methods, designing advanced interfaces and control strategies.To realize the objective, the research in this project spans three complementary facets of AV/human factors research: a) understanding the behaviour of different road-users (inside and outside AVs) when interacting with AVs, investigating cognitive processes, predictability, trust, acceptance and safe interaction in initial and long-term AV exposure, b) researching the best design strategies for interfaces used for communication and interaction between AVs and humans (inside and outside AVs), and c) integrating knowledge on human/AV interactions into models to perform prospective mixed traffic AV safety assessments. As AI is a core technology for AV development, this ETN will also seek to integrate knowledge of human factors with that of AI in AV development, reducing the gap between human-factors and AI scientists and AV software developers.The main educational aim of this ETN is to deliver a future generation of human factors researchers with an excellent multidisciplinary (cognitive and behavioural psychology, human-factors, computer science, and engineering) education in human factors experimental and modelling methods, human-AV interaction, safety analysis and AV design.

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