Meta-Trend of Trust Factors in Autonomous Vehicles

Abstract

Autonomous vehicles (AVs) have the potential for the future of transportation and changes are expected in user perceptions and behaviors, where the autonomous driving technology system can perform all driving tasks. It was invented to drive without human involvement. However, users are concerned about the impact of AVs, such as safety, security, and environmental aspects. This paper is a report of a systematic review to identify and analyze the main factors affecting trust in AVs. We applied the Systematic Literature Review (SLR) method and the Pareto analysis was applied to investigate the relative importance of the factors affecting trust in AVs. We found fifty factors affecting trust in AVs in the collected literature and identified the important factors in terms of frequency. These factors can be considered the entry point for other both industry sectors and researchers.