Autonomous Vehicle Technology: A Guide for Policymakers

Anderson, James M.; Kalra, Nidhi; Stanley, Karlyn; Sorensen, P.; Samaras, Constantine; Oluwatola, Oluwatobi

doi:10.7249/rr443-2

Cited by 322 publications

(109 citation statements)

References 35 publications

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“…Even larger impacts can be expected from more structural types of rebound effects [10], which occur for example with ML-enabled autonomous driving. Specifically, autonomous vehicles can improve fuel efficiency, but they may also lead to higher rates of individualized vehicle travel, potentially increasing overall energy use and emissions if autonomous vehicles are not shared and/or electrified [76][77][78][79].…”

Section: System-level Impactsmentioning

confidence: 99%

Aligning artificial intelligence with climate change mitigation

et al. 2022

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Section: System-level Impactsmentioning

confidence: 99%

Aligning artificial intelligence with climate change mitigation

et al. 2022

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“…Compared to human-operated vehicles, AVs offer numerous potential benefits, including reduced fatal crash rates ( Fagnant and Kockelman, 2015 ; National Highway Traffic Safety Administration, 2016 ) improved fuel efficiency, and reduced greenhouse gas emissions ( Mersky and Samaras, 2016 ; Sun et al, 2016 ). Other benefits of AVs include the potential to reduce traffic congestion, regain time by doing activities other than driving, and providing mobility services to those with limited mobility, such as elderly and disabled individuals ( West et al, 2003 ; Howard and Dai, 2014 ; Fagnant and Kockelman, 2015 ; Anderson et al, 2016 ; Bansal et al, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

Trusting autonomous vehicles as moral agents improves related policy support

Hurst

Sintov²

2022

Front. Psychol.

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Compared to human-operated vehicles, autonomous vehicles (AVs) offer numerous potential benefits. However, public acceptance of AVs remains low. Using 4 studies, including 1 preregistered experiment (total N = 3,937), the present research examines the role of trust in AV adoption decisions. Using the Trust-Confidence-Cooperation model as a conceptual framework, we evaluate whether perceived integrity of technology—a previously underexplored dimension of trust that refers to perceptions of the moral agency of a given technology—influences AV policy support and adoption intent. We find that perceived technology integrity predicts adoption intent for AVs and that messages that increase perceived integrity of AV technology result in greater AV adoption intent and policy support. This knowledge can be used to guide communication efforts aimed at increasing public trust in AVs, and ultimately enhance integration of AVs into transport systems.

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“…In terms of environmental consequences, multitudes of aspects are of note. CAVs have been predicted to improve fuel economy per kilometer travelled through smoother acceleration and tighter platooning, with higher effective speeds (Anderson et al, 2016). Integrated into taxi or sharing operations, the average number of people per vehicle could increase and the average size of the vehicle, and possibly its battery, decrease when adapted to the real occupancy (Burns, 2013;Burns et al, 2013;Shiau et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

“…Integrated into taxi or sharing operations, the average number of people per vehicle could increase and the average size of the vehicle, and possibly its battery, decrease when adapted to the real occupancy (Burns, 2013;Burns et al, 2013;Shiau et al, 2009). At the same time, increased travel demand, increased infrastructure need for communications, vehicle to vehicle (V2V) and vehicle to infrastructure (V2I), the inclusion of new user groups, and a cannibalizing effect on public transport might limitor even reverse -these positive environmental impacts (Anderson et al, 2016;Greenblatt & Shaheen, 2015;Taiebat et al, 2018Taiebat et al, , 2019Wadud et al, 2016). Expected impacts on land use with the associated loss in biodiversity are similarly heterogeneous.…”

Section: Introductionmentioning

confidence: 99%

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Ambivalence in Stakeholders’ Views on Connected and Autonomous Vehicles

Kacperski

Vogel

Kutzner

2020

Lecture Notes in Computer Science

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Connected and autonomous vehicles (CAVs) are often discussed as a solution to pressing issues of the current transport systems, including congestion, safety, social inclusion and ecological sustainability. Scientifically, there is agreement that CAVs may solve, but can also aggravate these issues, depending on the specific CAV solution. In the current paper, we investigate the visions and worst-case scenarios of various stakeholders, including representatives of public administrations, automotive original equipment manufacturers, insurance companies, public transportation service providers, mobility experts and politicians. A qualitative analysis of 17 semi-structured interviews is presented. It reveals experts' ambivalence towards the introduction of CAVs, reflecting high levels of uncertainty about CAV consequences, including issues of efficiency, comfort and sustainability, and concerns about co-road users such as pedestrians and cyclists. Implications of the sluggishness of policymakers to set boundary conditions and for the labor market are discussed. An open debate between policymakers, citizens and other stakeholders on how to introduce CAVs seems timely.

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Autonomous Vehicle Technology: A Guide for Policymakers

Cited by 322 publications

References 35 publications

Aligning artificial intelligence with climate change mitigation

Aligning artificial intelligence with climate change mitigation

Trusting autonomous vehicles as moral agents improves related policy support

Ambivalence in Stakeholders’ Views on Connected and Autonomous Vehicles

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