HFAUTO

Human Factors of Automated Driving

Coordinatore	TECHNISCHE UNIVERSITEIT DELFT    more  Organization address address: Stevinweg 1 city: DELFT postcode: 2628 CN contact info Titolo: Ms. Nome: Lily Cognome: Tunggal Email: send email Telefono: +31 015 2788684
Nazionalità Coordinatore	Netherlands [NL]
Totale costo	3˙864˙201 €
EC contributo	3˙864˙201 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2013-ITN
Funding Scheme	MC-ITN
Anno di inizio	2013
Periodo (anno-mese-giorno)	2013-11-01   -   2017-10-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	TECHNISCHE UNIVERSITEIT DELFT  Organization address address: Stevinweg 1 city: DELFT postcode: 2628 CN contact info Titolo: Ms. Nome: Lily Cognome: Tunggal Email: send email Telefono: +31 015 2788684	NL (DELFT)	coordinator	1˙270˙464.60
2	UNIVERSITY OF SOUTHAMPTON  Organization address address: Highfield city: SOUTHAMPTON postcode: SO17 1BJ contact info Titolo: Mrs. Nome: Yan Cognome: Qiao Email: send email Telefono: +44 238059 3907	UK (SOUTHAMPTON)	participant	638˙313.25
3	STATENS VAG- OCH TRANSPORTFORSKNINGSINSTITUT  Organization address address: Olaus Magnus Vaeg 35 city: LINKOEPING postcode: 58195 contact info Titolo: Dr. Nome: Jan Cognome: Andersson Email: send email Telefono: +46 13204264	SE (LINKOEPING)	participant	588˙050.30
4	TECHNISCHE UNIVERSITAET MUENCHEN  Organization address address: Arcisstrasse 21 city: MUENCHEN postcode: 80333 contact info Titolo: Ms. Nome: Maja Cognome: Probst Email: send email Telefono: +49 89 289 28374 Fax: +49 89 289 22620	DE (MUENCHEN)	participant	512˙337.75
5	CHALMERS TEKNISKA HOEGSKOLA AB  Organization address address: - city: GOETEBORG postcode: 41296 contact info Titolo: Mr. Nome: Jonas Cognome: Lindqvist Email: send email Telefono: +46 317721188	SE (GOETEBORG)	participant	294˙025.16
6	INSTITUT FRANCAIS DES SCIENCES ET TECHNOLOGIES DES TRANSPORTS, DE L'AMENAGEMENT ET DES RESEAUX  Organization address address: CITE DESCARTES - BOULEVARD ISAAC NEWTON - CHAMPS SUR MARNE 14 -20 city: MARNE LA VALLEE postcode: 77447 contact info Titolo: Mrs. Nome: Fabienne Cognome: Molinari Email: send email Telefono: 33472142333 Fax: 33472376837	FR (MARNE LA VALLEE)	participant	290˙048.66
7	UNIVERSITEIT TWENTE  Organization address address: DRIENERLOLAAN 5 city: ENSCHEDE postcode: 7522 NB contact info Titolo: Ms. Nome: Jacoba Cognome: Van Houten-Vos Email: send email Telefono: +31 534892424 Fax: +31 534892621	NL (ENSCHEDE)	participant	270˙961.47

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 Obiettivo del progetto (Objective)

'Road transport is an essential part of society but the burden of traffic crashes, congestion, and pollution is enormous. Highly automated driving (HAD) has the potential to resolve these problems and major car makers foresee that HAD will be technically ready for commercialisation within one decade from now. However, industry is ill-prepared to deal with imminent human-error and legal consequences. This ITN will answer crucial human-factors questions, such as: how should human-machine-interfaces (HMI) be designed to support transitions between automated and manual control?, how can the automation understand the driver’s state and intentions? what are the effects of HAD on accident risk and transport efficiency?, and who is legally responsible for accidents?

Current human-factors expertise of HAD is scattered across disciplines (psychologists vs. engineers) and sectors (academia vs. industry) calling for a multidisciplinary approach. This ITN will train 14 young researchers in HMI design, behavioural research, driver modelling, and traffic flow theory, mentored by leading human-factors scientists in Europe. Through secondments in automotive industry, road safety institutes, and academia, the researchers will gain transferable knowledge of human factors, technology and legal and marketing aspects of HAD.

The ITN will investigate human behaviour in HAD using extensive driving simulator studies with a newly developed driver state monitor. A multimodal human-machine interface (HMI) will be developed supporting the driver in HAD and in transitions between automated and manual driving. Driver cognition and behaviour will be captured in mathematical driver and traffic flow models. Using this methodology we will predict benefits of HAD in terms of enhanced safety, traffic efficiency and eco-driving before system introduction. Taking into account, legal, human and technical requirements a roadmap for market introduction of HAD will be proposed.'