Trust and Intention to Use Autonomous Vehicles: Assessing Concerns and Influencing Variables

Document Type : Original Article

Authors
1 School of Civil Engineering-Iran University of Science and Technology
2 School of Civil Engineering, Iran University of Science and Technology
10.22034/road.2025.515189.2385
Abstract
Self-driving cars, as one of the significant innovations in the transportation industry, aim to enhance safety and comfort during travel. With the advancement of technology and the advent of self-driving cars into the market, various concerns and benefits have been formed that can affect their decision to use. Self-driving vehicles can revolutionize transportation and bring safety, reduced congestion, and environmental benefits. However, public concerns about safety, privacy, costs, and trust in technology are raised as challenges to the adoption. This study aims to examine the concerns and benefits of self-driving cars and their impact on trust and decision by preparing a questionnaire, collecting relevant data, and modeling. This article examines these factors and strategies to address concerns accepting AVs. Data analysis using logit modeling and descriptive statistics helped identify key factors influencing people's attitudes toward autonomous vehicles and concerns. The results show that concerns such as failure of intelligent systems and their reliability and stability, and loss of driving abilities have a negative impact on confidence in choosing autonomous vehicles, while assurance of benefits related to traffic reduction, use in bad weather conditions, experience and awareness of intelligent transportation systems, especially in safety such as pedestrian detection systems and automatic collision warning systems, have a positive impact on confidence in autonomous vehicles.
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