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Supporting the interaction of Humans and Automated vehicles: Preparing for the EnvIronment of Tomorrow

Objective

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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Coordinator

CHALMERS TEKNISKA HOEGSKOLA AB

Address

-
41296 Goeteborg

Sweden

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 563 965,92

Participants (5)

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UNIVERSITY OF LEEDS

United Kingdom

EU Contribution

€ 909 517,68

GOETEBORGS UNIVERSITET

Sweden

EU Contribution

€ 563 965,92

UNIVERSITAET ULM

Germany

EU Contribution

€ 758 365,20

TECHNISCHE UNIVERSITAET MUENCHEN

Germany

EU Contribution

€ 505 576,80

TECHNISCHE UNIVERSITEIT DELFT

Netherlands

EU Contribution

€ 796 859,64

Project information

Grant agreement ID: 860410

Status

Grant agreement signed

  • Start date

    1 October 2019

  • End date

    30 September 2023

Funded under:

H2020-EU.1.3.1.

  • Overall budget:

    € 4 098 251,16

  • EU contribution

    € 4 098 251,16

Coordinated by:

CHALMERS TEKNISKA HOEGSKOLA AB

Sweden