SAFETYLIT WEEKLY UPDATE

We compile citations and summaries of about 400 new articles every week.
RSS Feed

HELP: Tutorials | FAQ
CONTACT US: Contact info

Search Results

Journal Article

Citation

Gao Z, Sun Y, Hu H, Zhang T, Gao F. Traffic Injury Prev. 2020; ePub(ePub): ePub.

Affiliation

State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China.

Copyright

(Copyright © 2020, Informa - Taylor and Francis Group)

DOI

10.1080/15389588.2020.1739274

PMID

32310690

Abstract

Objective:The moral and ethical issue is a great challenge to the development of autonomous vehicles. There may be distinctions between the choices made by an observer and a participant. The paper is designed to investigate whether drivers will sacrifice the fewest people to save more people in social dilemma, and whether human drivers would give priority to protecting pedestrians or self-protection in an emergency.Methodology: The experiment was conducted with a total of 50 participants assigned to three groups. Three experimental scenarios were designed and each of them contained a social dilemma. A driving simulator was used in this study to explore the choices of human drivers in social dilemma. In addition, the simulator results were compared with those of questionnaire survey.Result: In study 1, 73% of 22 participants swerved into the right lane to hit only one pedestrian for the safety of other five. In study 2 and 3, more participants chose to hit the barrier to protect the pedestrian.Conclusion: A conclusion can be drawn from the second and third group of experiments that most drivers consider not only their own safety, but the safety of pedestrians. Most of the participants intended to minimize the total amount of harm in social dilemma. The choice of crashing into barriers to protect a pedestrian can also be seen as a way to minimize the total amount of harm.


Language: en

Keywords

Driver behavior; autonomous vehicles; driving simulator; instinctive reaction; traffic psychology

NEW SEARCH


All SafetyLit records are available for automatic download to Zotero & Mendeley
Print