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Building Acceptance and Trust in Autonomous Mobility

Building Acceptance and Trust in Autonomous Mobility

Objective

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.

Programme(s)

H2020-EU.3.4. - SOCIETAL CHALLENGES - Smart, Green And Integrated Transport

Topic(s)

MG-3-3-2018 - Driver behaviour and acceptance of connected, cooperative and automated transport

Call for proposal

H2020-MG-2018-TwoStages

See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

SOFTECO SISMAT SRL

Address

Via De Marini 1
16149 Genova

Italy

Activity type

Other

EU Contribution

€ 519 510

Website

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Participants (15)

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INSTYTUT TRANSPORTU SAMOCHODOWEGO

Poland

EU Contribution

€ 356 250

INSTITUT FRANCAIS DES SCIENCES ET TECHNOLOGIES DES TRANSPORTS, DE L'AMENAGEMENT ET DES RESEAUX

France

EU Contribution

€ 309 850

TYOTEHOSEURA RY

Finland

EU Contribution

€ 160 435

UNIVERSITY OF LEEDS

United Kingdom

EU Contribution

€ 337 550

PANEPISTIMIO PATRON

Greece

EU Contribution

€ 231 875

AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS

Spain

EU Contribution

€ 206 500

INTRASOFT INTERNATIONAL SA

Luxembourg

EU Contribution

€ 307 500

AITEK SPA

Italy

EU Contribution

€ 233 690

CATALINK LIMITED

Cyprus

EU Contribution

€ 297 500

ROBOCAR TECHNOLOGIES SPOLKA Z OGRANICZONA ODPOWIEDZIALNOSCIA

Poland

EU Contribution

€ 201 940

VODAFONE INNOVUS ANONIMI ETAIREIA SYSTIMATON EPIKOININIAS AYTOMATISMONKAI EFARMAGIS PLIROFORIKIS

Greece

EU Contribution

€ 129 375

AUTOKLUB POZNANSKI OCTAVIUS

Poland

EU Contribution

€ 143 125

SOLARIS BUS & COACH SPOLKA AKCYJNA

Poland

EU Contribution

€ 213 435

ITALSCANIA SPA

Italy

EU Contribution

€ 145 125

TTS Italia

Italy

EU Contribution

€ 126 340

Project information

Grant agreement ID: 815003

Status

Ongoing project

  • Start date

    1 May 2019

  • End date

    30 April 2022

Funded under:

H2020-EU.3.4.

  • Overall budget:

    € 3 920 000

  • EU contribution

    € 3 920 000

Coordinated by:

SOFTECO SISMAT SRL

Italy

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Last update: 26 April 2019

Record number: 221853