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CORDIS

Building Acceptance and Trust in Autonomous Mobility

Descripción del proyecto

Allanar el camino para los vehículos automatizados

La conducción autónoma plantea varios retos, desde la evaluación de la capacidad del conductor para intervenir en una interacción conductor-vehículo y una formación de conducción adecuada hasta perspectivas éticas y legales e interfaces persona-máquina correctamente diseñadas. Todos estos factores comprenden una dimensión de confianza que es fundamental para la interacción satisfactoria entre los conductores humanos y los sistemas de conducción y vehículos cada vez más automatizados. El proyecto Trustonomy, financiado con fondos europeos, se propone aumentar la aceptación, la confianza y la seguridad de los vehículos automatizados. Su objetivo es investigar, configurar, probar y evaluar tecnologías y métodos relevantes en supuestos de conducción autónoma y solicitud de intervención. Para ello, se considerarán elementos básicos como los tipos de usuarios, los modos de transporte por carretera y las condiciones de conducción.

Objetivo

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.

Convocatoria de propuestas

H2020-MG-2018-2019-2020

Consulte otros proyectos de esta convocatoria

Convocatoria de subcontratación

H2020-MG-2018-TwoStages

Régimen de financiación

RIA - Research and Innovation action

Coordinador

ALGOWATT SPA
Aportación neta de la UEn
€ 519 510,00
Dirección
CORSO MAGENTA 85
20123 Milano
Italia

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Región
Nord-Ovest Lombardia Milano
Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Enlaces
Coste total
€ 519 510,00

Participantes (15)