Public opinion on automated driving: Results of an international questionnaire among 5000 respondents

Kyriakidis, Miltos; Happee, Riender; Winter, Joost de

doi:10.1016/j.trf.2015.04.014

Cited by 1,038 publications

(675 citation statements)

References 16 publications

Supporting

Mentioning

600

Contrasting

Unclassified

Order By: Relevance

“…AVs software will be exposed to hacking threats, to intricate safety and legal issues, and to personal data transmission and misuse [49]. AVs will, therefore, lead to renewed campaigns aimed at scrutinising people's activities with the aim of addressing such problems (Critical decision: sensitive data management).…”

Section: The Individual Componentmentioning

confidence: 99%

Sustainable Accessibility and the Implementation of Automated Vehicles: Identifying Critical Decisions

2018

View full text Add to dashboard Cite

Abstract:The emergence of fully Automated Vehicles (AVs) is expected to occur in the next 10 to 30 years. The uncertainties related to AVs pose a series of questions about what the societal consequences of such technology are. Mainly, what are the consequences of AVs regarding accessibility? This paper uses Geurs and Van Wee's definition of accessibility to give an exploratory answer to this question. Using a scenario-based approach which allows identifying critical decisions that will emerge shortly (or are already emerging) concerning automated travelling, this paper proposes that AVs have great potential to both seriously aggravate and considerably alleviate accessibility problems. A great deal will depend on how these critical decisions will be approached and the choices that will be made. This debate is most needed because existing research on AVs tends to focus on how to make them a commercially viable and safe technological enterprise, and on what their benefits and drawbacks are regarding variables such as carbon emissions, energy consumption, and total miles travelled. Narratives of this nature can be problematic, as they are unlikely to promote sufficient awareness about the real disruptive potential of AVs. It is crucial that stakeholders realise the extent to which-if the governance of AVs implementation processes is not taken very seriously, and the identified critical decisions are not carefully approached-these machines can materialise a dystopian mobility future.

show abstract

Section: The Individual Componentmentioning

confidence: 99%

Sustainable Accessibility and the Implementation of Automated Vehicles: Identifying Critical Decisions

2018

View full text Add to dashboard Cite

show abstract

“…The distraction does not have to be visual; a cognitive secondary task can be equally influencing (Radlmayr et al, 2014). This includes having a phone conversation while driving highly automated, which will be a common use case in the future (Kyriakidis, Happee, & Winter, 2015). However, the influence of this type of nondriving-related task is not well studied yet.…”

Section: Engagement In a Non-driving Task As Use Case In Highly Autommentioning

confidence: 99%

The influence of age on the take-over of vehicle control in highly automated driving

Körber

Gold

Lechner

et al. 2016

Transportation Research Part F: Traffic Psychology and Behaviou

190

View full text Add to dashboard Cite

The growing proportion of older drivers in the population plays an increasingly relevant role in road traffic that is currently awaiting the introduction of automated vehicles. In this study, it was investigated how older drivers (≥ 60 years) compared to younger drivers (≤ 28 years) perform in a critical traffic event when driving highly automated. Conditions of the take-over situation were manipulated by adding a verbal non-driving task (20 questions task) and by variation of traffic density. Two age groups consisting of 36 younger and 36 older drivers drove either with or without a non-driving task on a six-lane highway. They encountered three situations with either no, medium or high traffic density where they had to regain vehicle control and evade an obstacle on the road. Older drivers reacted as fast as younger drivers, however, they differed in their modus operandi as they braked more often and more strongly and maintained a higher time-to-collision (TTC). Deterioration of take-over time and quality caused by increased traffic density and engagement in a non-driving task was on the same level for both age groups. Independent of the traffic density, there was a learning effect for both younger and older drivers in a way that the take-over time decreased, minimum TTC increased and maximum lateral acceleration decreased between the first and the last situation of the experiment. Results highlight that older drivers are able to solve critical traffic events as well as younger drivers, yet their modus operandi differs. Nevertheless, both age groups adapt to the experience of take-over situations in the same way.

show abstract

“…Cybersecurity and data privacy Similar to all electronic devices, AV cybersecurity is a serious issue (Kyriakidis et al, 2015). In 2015, two hackers remotely took control of a Jeep Cherokee (WIRED, 2015) and this year, a team of hackers did the same for a Tesla Model S (The Guardian, 2016c), raising fears that a large-scale attack…”

Section: 45mentioning

confidence: 99%

Dawn of autonomous vehicles: review and challenges ahead

Sousa

Almeida

Coutinho-Rodrigues

et al. 2018

Proceedings of the Institution of Civil Engineers - Municipal E

View full text Add to dashboard Cite

This paper reviews the state of the art on autonomous vehicles as of 2017, including their impact at socio-economic, energy, safety, congestion and land-use levels. This impact study focuses on the issues that are common denominators and are bound to arise independently of regional factors, such as (but not restricted to) change to vehicle ownership patterns and driver behaviour, opportunities for energy and emissions savings, potential for accident reduction and lower insurance costs, and requalification of urban areas previously assigned to parking. The challenges that lie ahead for carmakers, law and policy makers are also explored, with an emphasis on how these challenges affect the urban infrastructure and issues they create for municipal planners and decision makers. The paper concludes with strengths, weaknesses, opportunities, and threats analysis that integrates and relates all these aspects.

show abstract

Public opinion on automated driving: Results of an international questionnaire among 5000 respondents

Cited by 1,038 publications

References 16 publications

Sustainable Accessibility and the Implementation of Automated Vehicles: Identifying Critical Decisions

Sustainable Accessibility and the Implementation of Automated Vehicles: Identifying Critical Decisions

The influence of age on the take-over of vehicle control in highly automated driving

Dawn of autonomous vehicles: review and challenges ahead

Contact Info

Product

Resources

About