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On the future of transportation in an era of automated and autonomous vehicles
Open accessAbstract
Automated vehicles (AVs) already navigate US highways and those of many other nations around the world. Current questions about AVs do not now revolve around whether such technologies should or should not be implemented; they are already with us. Rather, such questions are more and more focused on how such technologies will impact evolving transportation systems, our social world, and the individuals who live within it and whether such systems ought to be fully automated or remain under some form of direct human control. More importantly, how will mobility itself change as these independent operational vehicles first share and then dominate our roadways? How will the public be kept apprised of their evolving capacities, and what will be the impact of science and the communication of scientific advances across the varying forms of social media on these developments? We look here to address these issues and to provide some suggestions for the problems that are currently emerging.
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“While AVs could reduce energy consumption-for example, by reducing traffic congestion and inducing efficiency through eco-driving-it is also possible that AVs will lead to an increase in overall road traffic that nullifies efficiency gains.”
From Tackling climate change with machine learning (2023) · cites this paper as [327]
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Cites
Trust in Automation: Designing for Appropriate Reliance
Lee, J. D., & See, K. A. (2004) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/hfes.46.1.50_30392 · Cited by 6,605 · cited 1×
“For the former, design processes should seek to design explicitly for appropriate levels of trust by human occupants in light of the known reliability of the automation (73, 74).”
BackgroundCramming More Components onto Integrated Circuits (1965)
Moore, G. E. (2021) · The MIT Press eBooks · doi:10.7551/mitpress/12274.003.0027 · Cited by 6,274
Cramming More Components Onto Integrated Circuits
Moore, G. E. (1998) · Proceedings of the IEEE · doi:10.1109/jproc.1998.658762 · Cited by 5,954
A model for types and levels of human interaction with automation
Parasuraman, R., Sheridan, T. B., & Wickens, C. D. (2000) · IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans · doi:10.1109/3468.844354 · Cited by 4,195 · cited 1×
“These effects will be felt for decades and then across generations as economies adapt to the new added capacities (41).”
BackgroundPrinciples of topological psychology.
Lewin, K. (1936) · McGraw-Hill eBooks · doi:10.1037/10019-000 · Cited by 3,938
The Singularity Is near: When Humans Transcend Biology
Mead, W. R., & Kurzweil, R. (2006) · Foreign Affairs · doi:10.2307/20031996 · Cited by 3,418
Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations
Fagnant, D. J., & Kockelman, K. (2015) · Transportation Research Part A: Policy and Practice · doi:10.1016/j.tra.2015.04.003 · Cited by 3,214
The Cambridge Handbook of Expertise and Expert Performance
Ericsson, K. A., Charness, N. H., Feltovich, P. J., Hoffman, R. R., Michelene, T. H., Hunt, E., Prietula, M. J., Amirault, R. J., Branson, R. K., Buchanan, B. G., et al. (2006) · Cambridge University Press eBooks · doi:10.1017/cbo9780511816796 · Cited by 3,160
Self-citationTrust in Automation: Integrating Empirical Evidence on Factors That Influence Trust
Hoff, K. A., & Bashir, M. (2015) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720814547570 · Cited by 2,817
A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction
Hancock, P. A., Billings, D. R., Schaefer, K. E., Chen, J. Y. C., de Visser, E. J., & Parasuraman, R. (2011) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720811417254 · Cited by 2,051 · cited 1×
“It is critical, because if there is insufficient human trust in autonomous and semiautonomous systems, there will be both little usage and chronic misuse (75).”
BackgroundSelf-citation
Research works printed but not linked: 8
- , ed PM Fitts (National Research Council, Washington, DC Human Engineering for an Effective Air Navigation and Traffic Control System, 1951).
- ST Fiske, SE Taylor Social Cognition (McGraw-Hill, New York, 1991).
- T Gilovich, R Eibach, The fundamental attribution error where it really counts. Psychol Inq 12, 23–26 (2001).
- R Brooks, The self-driving car’s people problem. IEEE Spectrum 34–37, 50–51 (2017).
- K Button Transport Economics (Edward Elgar Publishing, Cheltenham, UK, 2010).
- 10.1518/hfes.46.1.50.30392 · DOI · Paper page
- B Fischhoff, S Lichtenstein, P Slovic, SL Derby, RL Keeney Acceptable Risk (Cambridge Univ Press, New York, 1981).
- PA Hancock Essays on the Future of Human-Machine Systems (Banta, Eden Prairie, MN, 1997).
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Promoting User Acceptance in Autonomous Driving
Titov, W., & Schlegel, T. (2022) · International Conference on Smart and Sustainable Technologies (SpliTech) · doi:10.23919/splitech55088.2022.9854288 · Cited by 3
Mid-fusion of road scene polarization images on pretrained RGB neural networks
Omer, K., & Kupinski, M. K. (2021) · Journal of the Optical Society of America A · doi:10.1364/josaa.413604 · Cited by 3
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McDonald, A. D., Sarkar, A., Hickman, J. S., Alambeigi, H., Vogelpohl, T., & Markkula, G. M. (2021) · VTechWorks (Virginia Tech) · Cited by 3
Pardo, J., Li, X., Gerber, M. A., Gonçalves, R. C., Kuo, J., Lenné, M. G., & Schroeter, R. (2025) · International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI) · doi:10.1145/3744333.3747809 · Cited by 2
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Zhao, Y., Li, P., & Wang, H. (2025) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/03611981251368808 · Cited by 2
Itoh, A., Saito, Y., Yano, H., Yabe, T., & Itoh, M. (2025) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/03611981251375018 · Cited by 2
Mori, K., Fakhrmoosavi, F., Gurumurthy, K. M., Camargo, P., & Kockelman, K. M. (2025) · Computers Environment and Urban Systems · doi:10.1016/j.compenvurbsys.2025.102371 · Cited by 2
Duany, J. M., Mouloua, M., & Hancock, P. A. (2026) · Accident Analysis & Prevention · doi:10.1016/j.aap.2026.108403 · Cited by 2
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Chen, H., Ma, Z., & Zhang, Y. (2026) · Accident Analysis & Prevention · doi:10.1016/j.aap.2026.108516 · Cited by 2
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Chatterjee, T., Cheng, J., Healy, B., & Davies, M. (2021) · AIAA SciTech Forum · doi:10.2514/6.2021-1802 · Cited by 2
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Yap, C. H., Yap, M. H., Davison, A. K., & Cunningham, R. J. (2023) · IEEE Open Journal of Signal Processing · doi:10.1109/ojsp.2023.3275052 · Cited by 2
Transport autonomiczny jako element strategii miasta zrównoważonego
Jurczak, M., & Pawlicka, K. (2023) · STUDIA MIEJSKIE · doi:10.25167/sm.4883 · Cited by 2
Arabi, S. H., Maleki, M. H., & Ansari, H. (2024) · foresight · doi:10.1108/fs-11-2022-0165 · Cited by 2
Autonomous Vehicles: A Technical Introduction
Pek, C., & van Waveren, S. (2024) · Data science, machine intelligence, and law · doi:10.1007/978-3-031-41992-8_2 · Cited by 2
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Ascher, D., & Hackenberg, G. (2024) · Lecture notes in networks and systems · doi:10.1007/978-3-031-64850-2_17 · Cited by 2
Alkaabi, K., & Senghore, S. (2024) · Advances in transdisciplinary engineering · doi:10.3233/atde241201 · Cited by 2
Interface design for visual blind spots in cooperative driving
Liu, B., Zhang, J., & Luximon, Y. (2025) · Behaviour and Information Technology · doi:10.1080/0144929x.2025.2500448 · Cited by 2
Innovations in daily commuting - what types of solutions are competitive? European case study.
Wolny, A., Dudzińska, M., Dawidowicz, A., & Gross, M. (2024) · Bulletin of Geography Socio-economic series · doi:10.12775/bgss-2024-0019 · Cited by 2
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Hancock, P. A., & Cruit, J. K. (2024) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2024.3408804 · Cited by 2
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YAVAŞ, V., Macit, A., & Yeşilay, R. B. (2021) · Yuksekogretim Dergisi · doi:10.2399/yod.20.521417 · Cited by 2
Miniature Model of Autonomous Vehicle Using Arduino UNO and Open CV
walke, T., Agnihotri, A., Gohate, R., Mane, S., Pande, S., & Pendke, K. (2022) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2022.42074 · Cited by 2
A Efficient Method to Detect DDos Attack in Cloud Computing
(2022) · International Journal of Advanced Trends in Computer Science and Engineering · doi:10.30534/ijatcse/2022/011162022 · Cited by 2
Mao, S., Lee, J. J., Baig, F., Abdel-Aty, M. A., Islam, M. R., & Kim, Y. H. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2526596 · Cited by 1
Human vigilance in the age of intelligent machines: Challenges and prospects
Hancock, P. A. (2026) · Ergonomics · doi:10.1080/00140139.2025.2609813 · Cited by 1
Self-citationSharma, R. (2025) · Building Materials and Engineering Structures · doi:10.46632/bmes/3/4/3 · Cited by 1
Hentschel, M., Hollander, C., Roßner, P., Dettmann, A., & Bullinger, A. C. (2026) · Applied Ergonomics · doi:10.1016/j.apergo.2026.104806 · Cited by 1
Code of Ethics for Autonomous Vehicles
Macaskill, C. (2022) · Proceedings of the Wellington Faculty of Engineering Ethics and Sustainability Symposium · doi:10.26686/wfeess.vi.7650 · Cited by 1
Measures of Attention in Autonomous and Semi-Autonomous Multi-Vehicle Supervision
Glavan, J. J., Bass, E. J., Adams, J. A., & Sanchez, C. A. (2022) · IEEE International Conference on Human-Machine Systems (ICHMS) · doi:10.1109/ichms56717.2022.9980754 · Cited by 1
Hamadneh, J., & Hamdan, N. (2025) · World Electric Vehicle Journal · doi:10.3390/wevj16070352 · Cited by 1
Human-like driving: A comprehensive survey from depth and breadth
Lu, H., Yang, J., Liu, Y., Shen, S., Liu, H., Zheng, X., & Yang, H. (2025) · Artificial Intelligence for Transportation · doi:10.1016/j.ait.2025.100033 · Cited by 1
Voice Design and Trust in Automated Vehicles: Findings and a Research Agenda
Chen, J., & Zhang, Q. (2025) · IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA) · doi:10.1109/tps-isa67132.2025.00085 · Cited by 1
Sun, H., & Zhang, Y. (2026) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2026.103601 · Cited by 1
Masłowski, D. P., Salwin, M., Shmygol, N., Бирський, В. В., Huńko, M., Grześ, B., & Pałęga, M. Ł. (2026) · Sustainability · doi:10.3390/su18104994 · Cited by 1
A joint optimization-simulation framework for decision-making in complex networks
Huang, K., Huo, J., Yang, S., Wang, Z., Liu, X., Wei, W., Liu, Z., & Hu, H. (2026) · Transportation Research Part E Logistics and Transportation Review · doi:10.1016/j.tre.2026.104989 · Cited by 1
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Smith, D. (2021) · Foundations of Science · doi:10.1007/s10699-020-09735-4 · Cited by 1
Liang, C., Chen, Z., Yang, L., Guo, Z., Feng, X., Huang, Z., Liu, X., Qian, Y., Xu, Y., Zhang, X., et al. (2023) · Journal of Advanced Transportation · doi:10.1155/2023/9390468 · Cited by 1
Working out the optimal approach for regulation of autonomous vehicles in Russia
Ivanova, T., & Saraf, D. (2023) · AIP conference proceedings · doi:10.1063/5.0118188 · Cited by 1
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Noussia, K. P., Gocmen, Z., & Glynou, M. (2023) · Springer eBooks · doi:10.1007/978-3-031-32356-0_10 · Cited by 1
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Rosik, P., Komornicki, T., Goliszek, S., Duma, P., & Szejgiec‐Kolenda, B. (2021) · Springer proceedings in business and economics · doi:10.1007/978-3-030-50010-8_3 · Cited by 1
Runtime Testability on Autonomous System
Kim, L.-W., Vo, Q. H., & Hong, C. S. (2022) · IEEE Transactions on Reliability · doi:10.1109/tr.2022.3160351 · Cited by 1
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Akhtar, M. W., & Hassan, S. A. (2021) · Internet of things · doi:10.1007/978-3-030-92054-8_2 · Cited by 1
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Menon, C., Carta, S., & Foerster, F. (2022) · International Conference on Computer-Human Interaction Research and Applications (CHIRA) · doi:10.5220/0011560900003323 · Cited by 1
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NVIDIA, & Rajasekaran, S. B. (2022) · Journal of Engineering and Applied Sciences Technology · doi:10.47363/jeast/2023(4)185 · Cited by 1
Zaghdoud, R., Boukthir, K., Hamdani, T. M., & Alimi, A. M. (2022) · doi:10.36227/techrxiv.19929383 · Cited by 1
Remote operation of Connected and Automated Vehicles
Kalaiyarasan, A., Simpson, B., Jenkins, D., Mazzeo, F., Ye, H., Kourantidis, K., Courtier, M., Wong, M., & Wilford, R. (2021) · doi:10.58446/gywi4270 · Cited by 1
Roksic, S. (2021) · doi:10.15368/theses.2021.102 · Cited by 1
Carlowitz, S., Madigan, R., Goodridge, C. M., Hilz, J., Marberger, C., Alt, P., Schulz, M., Osswalt, S., Engeln, A., & Merat, N. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.5063808 · Cited by 1
Kharche, D., Pal, N., Daya, J. L. F., & Parandhaman, B. (2025) · Wiley eBooks · doi:10.1002/9781394272549.ch10 · Cited by 1
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Jackson, M. O., Mei, Q., Wang, S., Xie, Y., Yuan, W., Benzell, S. G., Brynjolfsson, E., Evans, J. A., Jabarian, B., Kleinberg, J. M., et al. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5395006 · Cited by 2
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Rogahang, H. J., Manoppo, F. K., & Kaunang, R. A. E. (2020) · Asian Education Symposium (AES) · doi:10.2991/assehr.k.200513.081
Evolutionary Automation of Coordinated Autonomous Vehicles
Huang, C.-L., & Nitschke, G. (2020) · IEEE Congress on Evolutionary Computation (CEC) · doi:10.1109/cec48606.2020.9185912
DUBOVSKY, V. A., & Savchenko, V. V. (2020) · Doklady BGUIR · doi:10.35596/1729-7648-2020-18-7-40-46
Early Unsafety Detection in Autonomous Vehicles
Pham, T., Dang, T., Nguyen, N. V., Ha, T. V., & Nguyen, B. T. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-63007-2_32
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Srivastava, A. K. (2021) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2021.36590
Private Information Compression in Dynamic Games among Teams
Tang, D., Tavafoghi, H., Subramanian, V., Nayyar, A., & Teneketzis, D. (2021) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc45484.2021.9683479
Transportation, driving, and older adults
O’Neill, D. J., & Carr, D. B. (2022) · Pathy's Principles and Practice of Geriatric Medicine · doi:10.1002/9781119484288.ch107
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Hancock, P. A. (2022) · Ergonomics in Design The Quarterly of Human Factors Applications · doi:10.1177/10648046221081924
Self-citationZaghdoud, R., Boukthir, K., Hamdani, T. M., & Alimi, A. M. (2022) · doi:10.36227/techrxiv.19929383.v1
Zaghdoud, R., Boukthir, K., Hamdani, T. M., & Alimi, A. M. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4127046
Gkritza, K., & Losada-Rojas, L. L. (2022) · Purdue e-Pubs (Purdue University System) · doi:10.5703/1288284317570
AutoNav: A Lane and Object Detection Model for Self-Driving Cars
Madhumitha, S. S., Sailesh, R., Sirish, A., & Munavalli, J. R. (2022) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-981-19-3015-7_17
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Qi, G. (2022) · Communications in computer and information science · doi:10.1007/978-3-031-19682-9_52
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Jain, A., & Gupta, N. (2022) · Lecture notes in electrical engineering · doi:10.1007/978-981-19-4364-5_9
Iskandarani, M. Z. (2023) · The Open Transportation Journal · doi:10.2174/18744478-v17-e230111-2022-32
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Naeem, A. B., & Zaidi, A. T. (2023) · Research Square · doi:10.21203/rs.3.rs-2311019/v1
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Quan, K. J., Sani, Z. M., Izzuddin, T. A., Azizan, A., & Ghani, H. A. (2023) · IAES International Journal of Artificial Intelligence · doi:10.11591/ijai.v12.i4.pp1534-1542
Anjum, S. S., Iqbal, J., Keoy, K. H., Kumar, P., Shibghatullah, A. S., Natarajan, E., Noor, R. M., & Ahmedy, I. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-18644-8.00006-x
Toliyat, S. M. H. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4789647
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Rathod, A. J., & Pajgade, P. S. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4885756
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Raju, D., Rajagopal, N. K., Diwan, S. P., Kathirvelu, B., Tisoc, J. H., & Shaikh, A. (2024) · AIP conference proceedings · doi:10.1063/5.0218004
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Zakharenko, R. (2024) · Research in Transportation Economics · doi:10.1016/j.retrec.2024.101490
You, F., Zhang, J., Zhang, J., Shen, L., Fang, W., Cui, W., & Wang, J. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-23606-8.00017-8
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Ying, Z., Huang, Y., Ren, M., Li, L., Song, J., & Wang, P. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5234929
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LI, R., Li, X., & Li, X. (2025) · World Electric Vehicle Journal · doi:10.3390/wevj16080449
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Kou, Y., Zhou, Q., Wang, J., & Yu, N. X. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791151
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Qin, D., Shen, J., He, Z., Li, Q., Di, Q., Zhang, X., Zhan, Z., Yu, H., & Nie, B. (2026) · Accident Analysis & Prevention · doi:10.1016/j.aap.2026.108610
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Asaad, R., Moussa, R., & El-Tawab, S. (2026) · International Conference on Machine Intelligence and Smart Innovation (ICMISI) · doi:10.1109/icmisi69868.2026.11584172
Deshmukh, N. H., & Gadade, H. D. (2025) · International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) · doi:10.1109/i-smac65734.2025.11597716
Torres, R. A. Z., Rey-Sarmiento, C. F., Prado, J. C. A., & Niño, Á. M. (2026) · Technologies · doi:10.3390/technologies14080460
Metadata
- Authors
- Hancock, P. A., Nourbakhsh, I., & Stewart, J.
- Affiliations
- University of Central Florida (US)
- Carnegie Mellon University (US)
- Wired Magazine, San Francisco, CA 94107
- Corresponding author
- Hancock, P. A.
- ORCID
- Hancock, P. A.
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2019-01-14
- Volume
- 116
- Issue
- 16
- Pages
- 7684-7691
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC6475395
- OpenAlex
- W2908550123
- Cited by
- 312
- References
- 73
- Citations by year
- 2026: 30 · 2025: 41 · 2024: 40 · 2023: 47 · 2022: 61 · 2021: 49 · 2020: 33 · 2019: 10
- FWCI
- 17.43
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Transportation › Transportation and Mobility Innovations
- Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
- Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
- Keywords
- autonomous vehicles, future of transport, mobility, public understanding of technology, science communication, social media, societal impact of automation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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