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http://dx.doi.org/10.12815/kits.2022.21.5.117

An Analysis of Road User Acceptance Factors for Fully Autonomous Vehicles : For Drivers and Pedestrians  

Jeong, Mi-Kyeong (Korea Road Traffic Authority)
Choi, Mee-Sun (Korea Road Traffic Authority)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.21, no.5, 2022 , pp. 117-132 More about this Journal
Abstract
The purpose of this study is to analyze factors that affect road users' acceptance of fully autonomous vehicles (level 4 or higher). A survey was done with drivers of general cars and pedestrians who share roads with fully autonomous vehicles. Five acceptability factors were selected: trust towards technology, compatibility, policy, perceived safety, and perceived usefulness. The effect on behavioral intention was analyzed using structural equation modeling (SEM). The perceived safety and trust towards technology were found to be very important in the acceptance of fully autonomous vehicles, regardless of the respondent, and policy was not influential. Compatibility and perceived usefulness were particularly influential factors for drivers. In order to improve the acceptance by road users, securing technical completeness of fully autonomous vehicles is important. Certification and evaluation of the safe driving ability of fully autonomous vehicles should be thoroughly performed, and based on the results, it is necessary to improve the perception by road users. It is necessary to positively recognize fully autonomous vehicles through education and publicity for road users and to support their smooth interaction.
Keywords
Full Autonomous Vehicles; Acceptance; Drivers; Pedestrians; Automation Acceptance Model;
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Times Cited By KSCI : 1  (Citation Analysis)
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