Journal ArticleDOI
User preferences regarding autonomous vehicles
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TLDR
In this article, a stated preference questionnaire is distributed to 721 individuals living across Israel and North America, based on the characteristics of their current commutes, individuals are presented with various scenarios and asked to choose the car they would use for their commute.Abstract:
This study gains insight into individual motivations for choosing to own and use autonomous vehicles and develops a model for autonomous vehicle long-term choice decisions. A stated preference questionnaire is distributed to 721 individuals living across Israel and North America. Based on the characteristics of their current commutes, individuals are presented with various scenarios and asked to choose the car they would use for their commute. A vehicle choice model which includes three options is estimated: (1) Continue to commute using a regular car that you have in your possession. (2) Buy and shift to commuting using a privately-owned autonomous vehicle (PAV). (3) Shift to using a shared-autonomous vehicle (SAV), from a fleet of on-demand cars for your commute. A factor analysis determined five relevant latent variables describing the individuals’ attitudes: technology interest, environmental concern, enjoy driving, public transit attitude, and pro-AV sentiments. The effects that the characteristics of the individual and the autonomous vehicle have on use and acceptance are quantified through random utility models including logit kernel model taking into account panel effects. Currently, large overall hesitations towards autonomous vehicle adoption exist, with 44% of choice decisions remaining regular vehicles. Early AV adopters will likely be young, students, more educated, and spend more time in vehicles. Even if the SAV service were to be completely free, only 75% of individuals would currently be willing to use SAVs. The study also found various differences regarding the preferences of individuals in Israel and North America, namely that Israelis are overall more likely to shift to autonomous vehicles. Methods to encourage SAV use include increasing the costs for regular cars as well as educating the public about the benefits of shared autonomous vehicles.read more
Citations
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Assessing Public Opinions of and Interest in New Vehicle Technologies: An Austin Perspective
TL;DR: In this paper, the authors conducted a survey with 347 Austinites to understand their opinions on smart-car technologies and strategies and found that respondents perceive fewer crashes to be the primary benefit of autonomous vehicles (AVs), with equipment failure being their top concern.
Journal ArticleDOI
Autonomous Cars: Research Results, Issues, and Future Challenges
Rasheed Hussain,Sherali Zeadally +1 more
TL;DR: A comprehensive review of state-of-the-art results for autonomous car technology is presented and several challenges that must be addressed by designers, implementers, policymakers, regulatory organizations, and car manufacturers are discussed.
Journal ArticleDOI
Shared autonomous vehicle services: A comprehensive review
TL;DR: In this article, a comprehensive review of the foreseen impacts of shared autonomous vehicle (SAV) applications is presented, which are categorised into seven groups, namely (i) Traffic & Safety, (ii) Travel behaviour, (iii) Economy, (iv) Transport supply, (v) Land use, (vi) Environment & (vii) Governance).
Journal ArticleDOI
What drives people to accept automated vehicles? Findings from a field experiment
TL;DR: In this paper, the influence of direct experience of an automated vehicle (AV, Level 3) and explaining and predicting public acceptance of AVs through a psychological model was analyzed. But the authors considered the last two determinants, namely perceived usefulness (PU), perceived ease of use (PEU), trust related to SDVs, and perceived safety (PS) while riding in our AV.
Journal ArticleDOI
What have we learned? A review of stated preference and choice studies on autonomous vehicles
TL;DR: A review of studies published in peer-reviewed journals, conference proceedings, and technical academic and private sector reports on surveys about autonomous vehicles (AVs) from 2012 onward is provided in this article.
References
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Journal ArticleDOI
Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations
TL;DR: In this article, the authors proposed a nationally recognized licensing framework for AVs, determining appropriate standards for liability, security, and data privacy, which can be used to improve vehicle safety, congestion, and travel behavior.
Preparing a Nation for Autonomous Vehicles: Opportunities, Barriers and Policy Recommendations
TL;DR: In this paper, the authors proposed a nationally recognized licensing framework for AVs, determining appropriate standards for liability, security, and data privacy for personal travel in the United States, which is based on the work of the authors of this paper.
BIOGEME: a free package for the estimation of discrete choice models
TL;DR: Reference TRANSP-OR-CONF-2006-048 URL: http://transp-or.epfl.ch/documents/proceedings/Bier03.pdf
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The travel and environmental implications of shared autonomous vehicles, using agent-based model scenarios
TL;DR: In this article, the authors describe the design of an agent-based model for shared autonomous vehicle (SAV) operations, the results of many case-study applications using this model, and the estimated environmental benefits of such settings, versus conventional vehicle ownership and use.
Journal ArticleDOI
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).