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External interaction principles for creating trust in heavy automated vehicles - phase 1

Reference number
Coordinator Scania CV AB - Avd YR Research Support Office
Funding from Vinnova SEK 5 101 000
Project duration April 2020 - October 2022
Status Completed
Venture Electronics, software and communication - FFI
Call Electronics, software and communication - FFI - 2019-12-10
End-of-project report 2019-05901eng.pdf (pdf, 1170 kB)

Important results from the project

To become widely used on public roads, automated vehicles will need to be trusted and gain societal acceptance - something that will be greatly affected by their ability to safely and efficiently interact with other road users. The purpose of this research project was to identify how trust and acceptance of heavy automated vehicles (SAE Level 4 with/without driver onboard) can be created and maintained via design of external interaction principles (eHMI).

Expected long term effects

The results include: a) knowledge on how heavy AVs interact with other road users, b) guidelines on what, how and when to communicate from heavy AVs, c) interface prototypes of different fidelity levels, d) methodology framework for evaluation of external interactions in different settings, e) active contribution to ISO standardization work, and e) one licentiate thesis focusing on safety, efficiency and experience.

Approach and implementation

The project adopted a holistic approach where a series of design and user studies were conducted utilizing a mixed-methodology approach. The work was divided in six work-packages: 1) Project lead, dissemination, standardization, 2) Selection and specification of use cases, 3) Understanding current and future interactions, 4) Design and implementation of external interaction concepts, 5) Development of evaluation methodology, 6) Evaluations of concepts and analysis.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 28 June 2023

Reference number 2019-05901