Policy and society related implications of automated driving: A review of literature and directions for future research
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TLDR
The review shows that first-order impacts on road capacity, fuel efficiency, emissions, and accidents risk are expected to be beneficial and the balance between the short-term benefits and long-term impacts of vehicle automation remains an open question.Citations
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IEEE transactions on pattern analysis and machine intelligence
TL;DR: This special issue aims at gathering the recent advances in learning with shared information methods and their applications in computer vision and multimedia analysis and addressing interesting real-world computer Vision and multimedia applications.
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.
Journal ArticleDOI
Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments
Raphael Stern,Shumo Cui,Maria Laura Delle Monache,Rahul Bhadani,Matt Bunting,Miles Churchill,Nathaniel Hamilton,R’mani Haulcy,Hannah Pohlmann,Fangyu Wu,Benedetto Piccoli,Benjamin Seibold,Jonathan Sprinkle,Daniel B. Work,Daniel B. Work +14 more
TL;DR: It is demonstrated experimentally that intelligent control of an autonomous vehicle is able to dampen stop-and-go waves that can arise even in the absence of geometric or lane changing triggers, suggesting a paradigm shift in traffic management.
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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
Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks
Araz Taeihagh,Hazel Si Min Lim +1 more
TL;DR: In this article, the benefits of autonomous vehicles (AVs) are widely acknowledged, but there are concerns about the extent of these benefits and AV risks and unintended consequences, and the authors first exam
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The future of employment: How susceptible are jobs to computerisation?
TL;DR: In this paper, a Gaussian process classifier was used to estimate the probability of computerisation for 702 detailed occupations, and the expected impacts of future computerisation on US labour market outcomes, with the primary objective of analyzing the number of jobs at risk and the relationship between an occupations probability of computing, wages and educational attainment.
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The Ripple Effect: Emotional Contagion and Its Influence on Group Behavior
TL;DR: Group emotional contagion, the transfer of moods among people in a group, and its influence on work group dynamics was examined in a laboratory study of managerial decision making using multiple, c...
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Accessibility evaluation of land-use and transport strategies: review and research directions
Karst Teunis Geurs,Bert van Wee +1 more
TL;DR: A review of accessibility measures for assessing the usability of these measures in evaluations of land-use and transport strategies and developments is presented in this paper, using a broad range of relevant criteria, including theoretical basis, interpretability and communicability, and data requirements of the measures.
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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.
IEEE transactions on pattern analysis and machine intelligence
TL;DR: This special issue aims at gathering the recent advances in learning with shared information methods and their applications in computer vision and multimedia analysis and addressing interesting real-world computer Vision and multimedia applications.