Perceptions and expectations of autonomous vehicles – A snapshot of vulnerable road user opinion
TLDR
In this paper, the authors explore opinions regarding the perceived benefits and challenges of AVs among vulnerable road users, in particular pedestrians and bicyclists, and evaluate whether interaction experiences with AVs influence perceptions among vulnerable pedestrians and cyclists.About:
This article is published in Technological Forecasting and Social Change.The article was published on 2019-06-01 and is currently open access. It has received 153 citations till now. The article focuses on the topics: Direct experience.read more
Citations
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The Determinants behind the Acceptance of Autonomous Vehicles: A Systematic Review
TL;DR: In this article, a review of the existing studies on AV acceptance is presented, and the authors find that people in Europe and Asia have substantial differences in attitudes toward AVs and that safety is one of the most concerned factors of AVs.
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The determinants of public acceptance of autonomous vehicles: An innovation diffusion perspective
TL;DR: In this article, the authors developed a theoretical model to identify the latent factors influencing public acceptance of autonomous vehicles and examined their interrelationships by applying three diverse research paradigms anchoring on innovation diffusion, customer utility and social psychology.
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What drives the acceptance of autonomous driving? An investigation of acceptance factors from an end-user's perspective
TL;DR: How social influence, system characteristics, and individual factors determine individual acceptance of autonomous driving is revealed, with implications for practitioners.
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A multi-level model on automated vehicle acceptance (MAVA): a review-based study
TL;DR: In this article, a multi-level model is proposed to predict AV acceptance based on a four-stage decision-making process that ranges from the exposure of the individual to automated vehicles (AVs) in Stage 1, the formation of favourable or unfavourable attitudes towards AVs in Stage 2, making the decision to adopt or reject AVS in Stage 3, to the implementation of AVs into practice in Stage 4.
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Autonomous vehicles in the smart city era: An empirical study of adoption factors important for millennials
TL;DR: It is confirmed the perceived benefits of AV are vital factors for AV adoption whereas the perceived safety of AV significantly reduces the influence of various concerns regarding AV.
References
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Affective Forecasting Knowing What to Want
TL;DR: This paper found that people often display an impact bias, overestimating the intensity and duration of their emotional reactions to negative events, and that people fail to anticipate how quickly they will cope psychologically with such events in ways that speed their recovery from them.
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Public Opinion on Automated Driving: Results of an International Questionnaire Among 5,000 Respondents
TL;DR: In this paper, the authors investigated user acceptance, worries, and willingness to buy partially, highly, and fully automated vehicles by means of a 63-question Internet-based survey, collected 5,000 responses from 109 countries (40 countries with at least 25 respondents).
Journal ArticleDOI
Public opinion on automated driving: results of an international questionnaire among 5000 respondents
TL;DR: In this article, the authors investigated user acceptance, concerns, and willingness to buy partially, highly, and fully automated vehicles by means of a 63-question Internet-based survey, and collected 5000 responses from 109 countries (40 countries with at least 25 respondents).
Autonomous Vehicle Implementation Predictions: Implications for Transport Planning
TL;DR: In this article, the authors explore the impacts that autonomous vehicles are likely to have on travel demands and transportation planning and explore how they will affect planning decisions such as optimal road, parking and public transit supply.
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Impacts of cooperative adaptive cruise control on freeway traffic flow
TL;DR: In this paper, the authors used microscopic simulation to estimate the effect on highway capacity of varying market penetrations of vehicles with adaptive cruise control (ACC) and cooperative adaptive cruise Control (CACC).