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Building Acceptance and Trust in Autonomous Mobility

Descrizione del progetto

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Spianare la strada ai veicoli automatizzati

La guida automatizzata solleva molte sfide: valutazione delle capacità del conducente nell’intervenire in un’interazione conducente-veicolo, adeguata formazione alla guida, aspetti etici e legali, interfacce uomo-macchina adeguatamente progettate, solo per citarne alcuni. Tutti questi fattori richiedono una fiducia che è basilare in un’interazione di successo tra conducenti umani e sistemi di guida e veicoli sempre più automatizzati. Il progetto Trustonomy, finanziato dall’UE, mira ad accrescere la sicurezza, la fiducia e l’accettazione di veicoli automatizzati. Esso si propone di indagare, configurare, testare e valutare tecnologie e approcci rilevanti negli scenari di guida autonoma e di richiesta d’intervento, tenendo conto di considerazioni chiave come tipo di utente, mezzo di trasporto stradale e condizioni di guida.

Obiettivo

Despite technological breakthroughs in connected and automated transport, the total transformation of existing transportation into a fully autonomous system is still decades away. In the meantime, mixed traffic environments with semi-autonomous vehicles proactively passing the dynamic driving task back to the human driver, whenever system limits are approached, is expected to become the norm. Such a Request to Intervene (RtI) can only be successful and met with trust by end-users if the driver state is continuously monitored and his/her availability properly evaluated and sufficiently triggered (through tailored human-machine interfaces - HMIs). In parallel, driver training has to evolve to account for the safe and sensible usage of semi-automated driving, whereas driver intervention performance has to be made an integral part of both driver and technology assessment. Besides, the ethical implications of automated decision-making need to be properly assessed, giving rise to novel risk and liability analysis models.

The vision of Trustonomy (a neologism from the combination of trust + autonomy) is to maximise the safety, trust and acceptance of automated vehicles by helping to address the aforementioned technical and non-technical challenges through a well-integrated and inter-disciplinary approach, bringing domain experts and ordinary citizens to work closely together. Trustonomy will investigate, setup, test and comparatively assess, in terms of performance, ethics, acceptability and trust, different relevant technologies and approaches, including driver state monitoring systems, HMI designs, risk models, and driver training methods. This will be done through both simulator and field based studies, in a variety of autonomous driving and RtI scenarios, covering different types of users (in terms of age, gender, driving experience, etc.), road transport modes (private cars, trucks, buses), levels of automation (L3 - L5) and driving conditions.

Campo scientifico

Programma(i)

Argomento(i)

Invito a presentare proposte

H2020-MG-2018-2019-2020

Vedi altri progetti per questo bando

Bando secondario

H2020-MG-2018-TwoStages

Meccanismo di finanziamento

RIA - Research and Innovation action

Coordinatore

ALGOWATT SPA
Contribution nette de l'UE
€ 519 510,00
Indirizzo
CORSO MAGENTA 85
20123 Milano
Italia

Mostra sulla mappa
Regione
Nord-Ovest Lombardia Milano
Tipo di attività
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Collegamenti
Costo totale
€ 519 510,00

Partecipanti (15)

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Ultimo aggiornamento: 16 Dicembre 2022

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Permalink: https://cordis.europa.eu/project/id/815003/it

European Union, 2024