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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AVs could reduce energy consumption by reducing traffic congestion and inducing eco-driving, but could also increase overall road traffic and nullify efficiency gains.
“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× · see citing works
“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 · see citing works
Cramming More Components Onto Integrated Circuits
Moore, G. E. (1998) · Proceedings of the IEEE · doi:10.1109/jproc.1998.658762 · Cited by 5,954 · see citing works
Gibson, J. J. (1977) · Medical Entomology and Zoology · doi:10.4324/9781315740218-18 · Cited by 4,471 · see citing works
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× · see citing works
“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 3,967 · see citing works
The Singularity Is near: When Humans Transcend Biology
Mead, W. R., & Kurzweil, R. (2006) · Foreign Affairs · doi:10.2307/20031996 · Cited by 3,418 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
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× · see citing works
“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-citationLicklider, J. C. R. (1960) · IRE Transactions on Human Factors in Electronics · doi:10.1109/thfe2.1960.4503259 · Cited by 1,938 · see citing works
Moore's law: past, present and future
Schaller, R. R. (1997) · IEEE Spectrum · doi:10.1109/6.591665 · Cited by 1,931 · see citing works
The social dilemma of autonomous vehicles
Bonnefon, J.-F., Shariff, A., & Rahwan, I. (2016) · Science · doi:10.1126/science.aaf2654 · Cited by 1,527 · see citing works
Understanding risk: informing decisions in a democratic society
(1997) · Choice Reviews Online · doi:10.5860/choice.34-5653 · Cited by 1,438 · see citing works
Tracking the ecological overshoot of the human economy
Wackernagel, M., Schulz, N. B., Deumling, D., Linares, A. C., Jenkins, M. D., Kapos, V., Monfreda, C., Loh, J., Myers, N., Norgaard, R. B., et al. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.142033699 · Cited by 1,288 · see citing works
SHOUP, D. C. (2006) · Transport Policy · doi:10.1016/j.tranpol.2006.05.005 · Cited by 1,034 · see citing works
Milakis, D., van Arem, B., & van Wee, B. (2017) · Journal of Intelligent Transportation Systems · doi:10.1080/15472450.2017.1291351 · Cited by 963 · see citing works
Punctuated equilibrium comes of age
Gould, S. J., & Eldredge, N. (1993) · Nature · doi:10.1038/366223a0 · Cited by 957 · see citing works
Roads to Prosperity? Assessing the Link Between Public Capital and Productivity
Fernald, J. G. (1999) · American Economic Review · doi:10.1257/aer.89.3.619 · Cited by 909 · see citing works
A Dynamic Model of Stress and Sustained Attention
Hancock, P. A. (1989) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/001872088903100503 · Cited by 874 · see citing works
Self-citationStructured Decision Making: A Practical Guide to Environmental Management Choices
Gregory, R., Failing, L., Harstone, M., Long, G., McDaniels, T., & Ohlson, D. (2012) · doi:10.1002/9781444398557 · Cited by 807 · see citing works
Schaefer, K. E., Chen, J. Y. C., Szalma, J. L., & Hancock, P. A. (2016) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720816634228 · Cited by 768 · see citing works
Self-citationStructured Decision Making: A Practical Guide to Environmental Management Choices
Gregory, R., Failing, L., Harstone, M., Long, G., McDaniels, T. L., & Ohlson, D. (2012) · Cited by 732 · see citing works
Leyens, J., Rodriguez‐Perez, A., Rodriguez‐Torres, R., Gaunt, R., Paladino, M., Vaes, J., & Demoulin, S. (2001) · European Journal of Social Psychology · doi:10.1002/ejsp.50 · Cited by 622 · see citing works
The Cambridge Handbook of Expertise and Expert Performance
(2018) · Cambridge University Press eBooks · doi:10.1017/9781316480748 · Cited by 614 · see citing works
Affordances as properties of the animal–environment system
Stoffregen, T. A. (2003) · Ecological Psychology · doi:10.1207/s15326969eco1502_2 · Cited by 609 · see citing works
de Chardin, P. T. (1955) · Medical Entomology and Zoology · Cited by 600 · see citing works
Humans and Automation: System Design and Research Issues
Sheridan, T. B. (2002) · Medical Entomology and Zoology · Cited by 552 · see citing works
Mobility of older people and their quality of life
Metz, D. H. (2000) · Transport Policy · doi:10.1016/s0967-070x(00)00004-4 · Cited by 531 · see citing works
You can't take it with you: Why ability assessments don't cross cultures.
Greenfield, P. M. (1997) · American Psychologist · doi:10.1037/0003-066x.52.10.1115 · Cited by 495 · see citing works
The sciences of science communication
Fischhoff, B. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1213273110 · Cited by 473 · see citing works
A survey of public opinion about connected vehicles in the U.S., the U.K., and Australia
Schoettle, B., & Sivak, M. (2014) · 2014 International Conference on Connected Vehicles and Expo (ICCVE) · doi:10.1109/iccve.2014.7297637 · Cited by 400 · see citing works
Understanding Risk - Informing Decisions in a Democratic Society
Morris, M. (1997) · Journal of Radiological Protection · doi:10.1088/0952-4746/17/3/020 · Cited by 334 · see citing works
MABA-MABA or Abracadabra? Progress on Human-Automation Co-ordination
Dekker, S. W. A., & Woods, D. D. (2002) · Cognition Technology & Work · doi:10.1007/s101110200022 · Cited by 331 · see citing works
Flemisch, F. O., Heesen, M., Hesse, T., Kelsch, J., Schieben, A., & Beller, J. (2011) · Cognition Technology & Work · doi:10.1007/s10111-011-0191-6 · Cited by 327 · see citing works
Communicating Science Effectively: A Research Agenda
Dc, W. (2018) · Cited by 320 · see citing works
Communicating scientific uncertainty
Fischhoff, B., & Davis, A. L. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1317504111 · Cited by 312 · see citing works
Economic effects of automated vehicles
Clements, L. M., & Kockelman, K. M. (2017) · Transportation Research Record: Journal of the Transportation Research Board · doi:10.3141/2606-14 · Cited by 245 · see citing works
Experimental validation of connected automated vehicle design among human-driven vehicles
Ge, J. I., Avedisov, S. S., He, C. R., Qin, W. B., Sadeghpour, M., & Orosz, G. (2018) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2018.04.005 · Cited by 210 · see citing works
Probability, Statistics, and Reliability for Engineers and Scientists
Ayyub, B. M., & McCuen, R. H. (2002) · Chapman & Hall/CRC eBooks · doi:10.1201/9780429258329 · Cited by 207 · see citing works
Defining and Measuring Social Cohesion
Jenson, J. (2010) · Social policies in small states series · doi:10.14217/9781848590724-en · Cited by 192 · see citing works
Hancock, P. A., Billings, D. R., & Schaefer, K. E. (2011) · Ergonomics in Design The Quarterly of Human Factors Applications · doi:10.1177/1064804611415045 · Cited by 189 · see citing works
Self-citationIn search of vigilance: The problem of iatrogenically created psychological phenomena.
Hancock, P. A. (2012) · American Psychologist · doi:10.1037/a0030214 · Cited by 184 · see citing works
Self-citationTurn Signals Are The Facial Expressions Of Automobiles
Norman, D. A. (1993) · Medical Entomology and Zoology · Cited by 176 · see citing works
Imposing limits on autonomous systems
Hancock, P. A. (2017) · Ergonomics · doi:10.1080/00140139.2016.1190035 · Cited by 162 · see citing works
Self-citationFatigue, workload and adaptive driver systems
Hancock, P. A., & Verwey, W. B. (1997) · Accident Analysis & Prevention · doi:10.1016/s0001-4575(97)00029-8 · Cited by 156 · see citing works
Self-citationMan versus Machine or Man + Machine?
Cummings, M. M. (2014) · IEEE Intelligent Systems · doi:10.1109/mis.2014.87 · Cited by 146 · see citing works
Automation: how much is too much?
Hancock, P. A. (2014) · Ergonomics · doi:10.1080/00140139.2013.816375 · Cited by 129 · see citing works
Self-citationProbability, Statistics, and Reliability for Engineers and Scientists
Ayyub, B. M., & McCuen, R. H. (2016) · CRC Press eBooks · doi:10.1201/b12161 · Cited by 126 · see citing works
Some pitfalls in the promises of automated and autonomous vehicles
Hancock, P. A. (2018) · Ergonomics · doi:10.1080/00140139.2018.1498136 · Cited by 122 · see citing works
Self-citationFatigue and Automation-Induced Impairments in Simulated Driving Performance
Desmond, P. A., Hancock, P. A., & Monette, J. L. (1998) · Transportation Research Record Journal of the Transportation Research Board · doi:10.3141/1628-02 · Cited by 109 · see citing works
Self-citationHoffman, R. R., & Hancock, P. A. (2017) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720816686248 · Cited by 93 · see citing works
Self-citationHumans and Automation: System Design and Research Issues
Andrew, A. M. (2003) · Kybernetes · doi:10.1108/k.2003.06732iae.001 · Cited by 90 · see citing works
Accidents and acts of God: a history of the terms.
Loimer, H., & Guarnieri, M. (1996) · American Journal of Public Health · doi:10.2105/ajph.86.1.101 · Cited by 80 · see citing works
The Science of Science Communication II
Fischhoff, B., & Scheufele, D. A. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1414635111 · Cited by 76 · see citing works
Individuation: theN= 1 revolution
Hancock, P. A., Hancock, G. M., & Warm, J. S. (2009) · Theoretical Issues in Ergonomics Science · doi:10.1080/14639220903106387 · Cited by 62 · see citing works
Self-citationAging, Cognitive Complexity, and the Fundamental Attribution Error
Follett, K. J., & Hess, T. M. (2002) · The Journals of Gerontology Series B · doi:10.1093/geronb/57.4.p312 · Cited by 56 · see citing works
Mind, machine and morality: toward a philosophy of human-technology symbiosis
(2010) · Choice Reviews Online · doi:10.5860/choice.47-2523 · Cited by 52 · see citing works
Design and performance evaluation of mixed manual and automated control traffic
Huang, S., Ren, W., & Chan, S. C. (2000) · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · doi:10.1109/3468.895889 · Cited by 50 · see citing works
Hancock, P. (2017) · CRC Press eBooks · doi:10.1201/9781315248905 · Cited by 42 · see citing works
Self-citationReflections on the 1951 Fitts List: Do Humans Believe Now that Machines Surpass them?
de Winter, J., & Hancock, P. A. (2015) · Procedia Manufacturing · doi:10.1016/j.promfg.2015.07.641 · Cited by 41 · see citing works
Self-citationHayes, C. C., & Miller, C. A. (2010) · Auerbach Publications eBooks · doi:10.1201/b10420 · Cited by 38 · see citing works
Trust and New Technologies: Marketing and Management on the Internet and Mobile Media
Kautonen, T., & Karjaluoto, H. (2008) · Cited by 35 · see citing works
Mindell, D. P. (2004) · Johns Hopkins University Press eBooks · doi:10.56021/9780801868955 · Cited by 30 · see citing works
Situation Awareness in Hri with Collaborating Remotely Piloted Vehicles
Riley, J. M., & Endsley, M. R. (2005) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193120504900341 · Cited by 29 · see citing works
Turn signals are the facial expressions of automobiles
Thomassen, A. J. W. M. (1994) · Acta Psychologica · doi:10.1016/0001-6918(94)90031-0 · Cited by 27 · see citing works
Keeping Up with Intelligent Technology
Hancock, P. A., & Hoffman, R. R. (2015) · IEEE Intelligent Systems · doi:10.1109/mis.2015.13 · Cited by 14 · see citing works
Self-citation(2008) · Edward Elgar Publishing eBooks · doi:10.4337/9781848445086 · Cited by 13 · see citing works
Hancock, P. A. (2017) · Springer eBooks · doi:10.1007/978-3-319-55248-4 · Cited by 8 · see citing works
Self-citationHerbst, J. (2006) · Cited by 4 · see citing works
Hancock, P. (2017) · Springer eBooks · doi:10.1007/978-3-319-55248-4_10 · Cited by 1 · see citing works
Self-citation
Flagged first, then by citations
1 of the 73 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- Fiske ST, Taylor SE (1991) Social Cognition (McGraw-Hill, New York).
- Brooks R (2017) The self-driving car's people problem. IEEE Spectrum 34-37:50-51.
- Fischhoff B, Lichtenstein S, Slovic P, Derby SL, Keeney RL (1981) Acceptable Risk (Cambridge Univ Press, New York).
Cited by
Sorted by citations
Trust in Artificial Intelligence: Meta-Analytic Findings
Kaplan, A. D., Kessler, T. T., Brill, J. C., & Hancock, P. A. (2023) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208211013988 · Cited by 397 · see citing works
Self-citationTackling climate change with machine learning
Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., et al. (2023) · ACM Computing Surveys · doi:10.1145/3485128 · Cited by 336 · see citing works
Trusting Automation: Designing for Responsivity and Resilience
Chiou, E. K., & Lee, J. D. (2023) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208211009995 · Cited by 301 · see citing works
Autonomous Shopping Systems: Identifying and Overcoming Barriers to Consumer Adoption
de Bellis, E., & Johar, G. V. (2020) · Journal of Retailing · doi:10.1016/j.jretai.2019.12.004 · Cited by 270 · see citing works
Evolving Trust in Robots: Specification Through Sequential and Comparative Meta-Analyses
Hancock, P. A., Kessler, T. T., Kaplan, A. D., Brill, J. C., & Szalma, J. L. (2020) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720820922080 · Cited by 240 · see citing works
Self-citationAdaptive virtual reality-based training: a systematic literature review and framework
Zahabi, M., & Abdul Razak, A. M. (2020) · Virtual Reality · doi:10.1007/s10055-020-00434-w · Cited by 233 · see citing works
Human Mental Workload: A Survey and a Novel Inclusive Definition
Longo, L., Wickens, C. D., Hancock, G., & Hancock, P. A. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.883321 · Cited by 222 · see citing works
Self-citationRahman, M. M., & Thill, J. (2023) · Sustainable Cities and Society · doi:10.1016/j.scs.2023.104649 · Cited by 182 · see citing works
Deep learning-based robust positioning for all-weather autonomous driving
Almalıoğlu, Y., Turan, M., Trigoni, N., & Markham, A. (2022) · Nature Machine Intelligence · doi:10.1038/s42256-022-00520-5 · Cited by 167 · see citing works
Montoro, L. V., Useche, S. A., Alonso, F., Lijarcio, I., Seguí, P. B., & Bertolín, A. M.-B. (2019) · Safety Science · doi:10.1016/j.ssci.2019.07.041 · Cited by 156 · see citing works
Change, I. P. O. C. (2023) · Cambridge University Press eBooks · doi:10.1017/9781009157926.012 · Cited by 153 · see citing works
Evaluating science communication
Fischhoff, B. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1805863115 · Cited by 148 · see citing works
How and why humans trust: A meta-analysis and elaborated model
Hancock, P., Kessler, T., Kaplan, A., Stowers, K., Brill, J., Billings, D., Schaefer, K. E., & Szalma, J. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1081086 · Cited by 139 · see citing works
Self-citationWill autonomous vehicles change auto commuters’ value of travel time?
Zhong, H., Li, W., Burris, M. W., Talebpour, A., & Sinha, K. C. (2020) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2020.102303 · Cited by 134 · see citing works
Exploring the who, what, when, where, and why of automated vehicle disengagements
Boggs, A. M., Arvin, R., & Khattak, A. J. (2019) · Accident Analysis & Prevention · doi:10.1016/j.aap.2019.105406 · Cited by 129 · see citing works
Multimodal Features for Detection of Driver Stress and Fatigue: Review
Němcová, A., Svozilová, V., Bucsuházy, K., Smíšek, R., Mézl, M., Hesko, B., Belák, M., Bilík, M., Maxera, P., Seitl, M., et al. (2020) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2020.2977762 · Cited by 121 · see citing works
Intrusion Detection in the Automotive Domain: A Comprehensive Review
Lampe, B., & Meng, W. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3309864 · Cited by 120 · see citing works
Analysis and Control of Autonomous Mobility-on-Demand Systems
Zardini, G., Lanzetti, N., Pavone, M., & Frazzoli, E. (2021) · Annual Review of Control Robotics and Autonomous Systems · doi:10.1146/annurev-control-042920-012811 · Cited by 114 · see citing works
A Survey of Collaborative Machine Learning Using 5G Vehicular Communications
Balkus, S. V., Wang, H., Cornet, B., Mahabal, C., Ngo, H. T., & Fang, H. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3149714 · Cited by 113 · see citing works
Enhanced Mobility With Connectivity and Automation: A Review of Shared Autonomous Vehicle Systems
Zhao, L., & Malikopoulos, A. A. (2022) · IEEE Intelligent Transportation Systems Magazine · doi:10.1109/mits.2019.2953526 · Cited by 93 · see citing works
Ayoub, J., Yang, X. J., & Zhou, F. (2021) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2020.12.015 · Cited by 94 · see citing works
Challenges to Human Drivers in Increasingly Automated Vehicles
Hancock, P. A., Kajaks, T., Caird, J. K., Chignell, M., Mizobuchi, S., Burns, P. C., Feng, J., Fernie, G. R., Lavallière, M., Noy, I. Y., et al. (2020) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720819900402 · Cited by 91 · see citing works
Self-citationAckermans, S., Dey, D., Ruijten, P. A. M., Cuijpers, R. H., & Pfleging, B. (2020) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376197 · Cited by 85 · see citing works
Mutzenich, C., Durant, S., Helman, S., & Dalton, P. (2021) · Cognitive Research Principles and Implications · doi:10.1186/s41235-021-00271-8 · Cited by 85 · see citing works
Corlu, C. G., de la Torre, R., Serrano-Hernández, A., Juan, A. A., & Faulín, J. (2020) · Energies · doi:10.3390/en13051115 · Cited by 74 · see citing works
Hancock, G. M., Longo, L., Young, M. S., & Hancock, P. A. (2021) · Wiley eBooks · doi:10.1002/9781119636113.ch7 · Cited by 70 · see citing works
Self-citationV2I based environment perception for autonomous vehicles at intersections
Duan, X., Jiang, H., Tian, D., Zou, T., Zhou, J., & Cao, Y. (2021) · China Communications · doi:10.23919/jcc.2021.07.001 · Cited by 68 · see citing works
Chen, W., Sun, X., Liu, L., Liu, X., Zhang, R., Zhang, S., Xue, J., Sun, Q., Wang, M., Li, X., et al. (2022) · One Earth · doi:10.1016/j.oneear.2022.07.005 · Cited by 66 · see citing works
Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature
Makahleh, H. Y., Ferranti, E. J. S., & Dissanayake, D. (2024) · Future Transportation · doi:10.3390/futuretransp4020017 · Cited by 55 · see citing works
Zhang, Q., Wallbridge, C. D., Jones, D. M., & Morgan, P. L. (2023) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2023.103887 · Cited by 54 · see citing works
Calibrating Trust in Automation Through Familiarity With the Autoparking Feature of a Tesla Model X
Tenhundfeld, N. L., de Visser, E. J., Haring, K. S., Ries, A. J., Finomore, V. S., & Tossell, C. C. (2019) · Journal of Cognitive Engineering and Decision Making · doi:10.1177/1555343419869083 · Cited by 52 · see citing works
A comprehensive study on lane detecting autonomous car using computer vision
Gajjar, H., Sanyal, S., & Shah, M. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.120929 · Cited by 51 · see citing works
Interactions and Behaviors of Pedestrians with Autonomous Vehicles: A Synthesis
Rezwana, S., & Lownes, N. (2024) · Future Transportation · doi:10.3390/futuretransp4030034 · Cited by 50 · see citing works
Realizing high‐energy density for practical lithium–sulfur batteries
Fang, R., Chen, K., Sun, Z., Hu, G., Wang, D., & Li, F. (2023) · Interdisciplinary materials · doi:10.1002/idm2.12118 · Cited by 49 · see citing works
Global Endeavors to Address the Health Effects of Urban Air Pollution
Jin, L. N., Apte, J. S., Miller, S. L., Tao, S., Wang, S., Jiang, G., & Li, X. D. (2022) · Environmental Science & Technology · doi:10.1021/acs.est.2c02627 · Cited by 46 · see citing works
Huang, K., Kockelman, K. M., & Gurumurthy, K. M. (2022) · Transportation Letters · doi:10.1080/19427867.2022.2070091 · Cited by 43 · see citing works
Wang, S., Correia, G. H. D. A., & Lin, H. X. (2019) · Journal of Advanced Transportation · doi:10.1155/2019/7878042 · Cited by 41 · see citing works
Avoiding adverse autonomous agent actions
Hancock, P. A. (2021) · Human-Computer Interaction · doi:10.1080/07370024.2021.1970556 · Cited by 40 · see citing works
Self-citationNaeem, A. B., Soomro, A. M., Saim, H. M., & Malik, H. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-16950-1 · Cited by 38 · see citing works
Salmon, P. M., Carden, T., & Hancock, P. A. (2020) · Human Factors and Ergonomics in Manufacturing & Service Industries · doi:10.1002/hfm.20883 · Cited by 36 · see citing works
Self-citationPrediction-Based Reachability for Collision Avoidance in Autonomous Driving
Li, A., Sun, L., Zhan, W., Tomizuka, M., & Chen, M. (2021) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra48506.2021.9560790 · Cited by 36 · see citing works
How to compete with robots by assessing job automation risks and resilient alternatives
Paolillo, A., Colella, F., Nosengo, N., Schiano, F., Stewart, W., Zambrano, D., Chappuis, I., Lalive, R., & Floreano, D. (2022) · Science Robotics · doi:10.1126/scirobotics.abg5561 · Cited by 35 · see citing works
Bandeira, J. M., Macedo, E., Fernandes, P., Rodrigues, M., Andrade, M., & Coelho, M. C. (2021) · IEEE Open Journal of Intelligent Transportation Systems · doi:10.1109/ojits.2021.3112904 · Cited by 34 · see citing works
Liu, C., Liu, Z., Xu, Z., & Li, X. S. (2024) · Transportation Research Part C Emerging Technologies · doi:10.1016/j.trc.2024.104720 · Cited by 34 · see citing works
The politics of new driving technologies: Political ideology and autonomous vehicle adoption
Mack, E. A., Miller, S. R., Chang, C.-H. D., Fossen, J. A. V., Cotten, S. R., Savolainen, P. T., & Mann, J. (2021) · Telematics and Informatics · doi:10.1016/j.tele.2021.101604 · Cited by 33 · see citing works
Rumors in the air? Exploring public misconceptions about automated vehicles
Du, M., Zhang, T., Liu, J., Xu, Z., & Liu, P. (2022) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2022.01.003 · Cited by 33 · see citing works
Pande, D., & Taeihagh, A. (2023) · Journal of Economic Policy Reform · doi:10.1080/17487870.2023.2197599 · Cited by 26 · see citing works
Cyber security and its impact on CAV safety: Overview, policy needs and challenges
Katrakazas, C., Theofilatos, A., Papastefanatos, G., Härri, J., & Antoniou, C. (2020) · Advances in transport policy and planning · doi:10.1016/bs.atpp.2020.05.001 · Cited by 32 · see citing works
A Cooperative Control Framework for CAV Lane Change in a Mixed Traffic EnvironmentPreprint
Du, R., Chen, S., Li, Y., Dong, J., Ha, P. Y. J., & Labi, S. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2010.05439 · Cited by 32 · see citing works
Syncing sustainable urban mobility with public transit policy trends based on global data analysis
Ceder, A. A. (2021) · Scientific Reports · doi:10.1038/s41598-021-93741-4 · Cited by 31 · see citing works
Gao, Z.-F., Li, W.-M., Liang, J., Pan, H.-X., Xu, W., & Shen, M.-W. (2021) · Advances in Psychological Science · doi:10.3724/sp.j.1042.2021.02172 · Cited by 15 · see citing works
Simulating a transition to autonomous mobility
Rezaei, M., & Caulfield, B. M. (2020) · Simulation Modelling Practice and Theory · doi:10.1016/j.simpat.2020.102175 · Cited by 30 · see citing works
ASAYAR: A Dataset for Arabic-Latin Scene Text Localization in Highway Traffic Panels
Akallouch, M., Boujemaa, K. S., Bouhoute, A., Fardousse, K., & Berrada, I. (2020) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2020.3029451 · Cited by 30 · see citing works
Zhou, X., Wang, Z., & Wang, J. (2021) · Journal of Dynamic Systems Measurement and Control · doi:10.1115/1.4051466 · Cited by 28 · see citing works
Traffic Scenarios for Automated Vehicle Testing: A Review of Description Languages and Systems
Ma, J., Che, X., Li, Y., & Lai, E. M.-K. (2021) · Machines · doi:10.3390/machines9120342 · Cited by 28 · see citing works
Human’s Intuitive Mental Models as a Source of Realistic Artificial Intelligence and Engineering
Suomala, J., & Kauttonen, J. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.873289 · Cited by 28 · see citing works
Human Injury-Based Safety Decision of Automated Vehicles
Wang, Q., Zhou, Q., Lin, M., & Nie, B. (2022) · iScience · doi:10.1016/j.isci.2022.104703 · Cited by 28 · see citing works
Assessing the Effect of Drivers’ Gender on Their Intention to Use Fully Automated Vehicles
Useche, S. A., Ortega, M. P., Gonzalez-Marin, A., & Llamazares, F. J. (2021) · Applied Sciences · doi:10.3390/app12010103 · Cited by 28 · see citing works
The Science of Science Communication III
Fischhoff, B., & Scheufele, D. A. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1902256116 · Cited by 27 · see citing works
Zaghari, N., Fathy, M., Jameii, S. M., Sabokrou, M., & Shahverdy, M. (2020) · The Journal of Supercomputing · doi:10.1007/s11227-020-03399-4 · Cited by 27 · see citing works
Dynamic scan paths investigations under manual and highly automated driving
Navarro, J., Lappi, O., Osiurak, F., Hernout, E., Gabaude, C., & Reynaud, E. (2021) · Scientific Reports · doi:10.1038/s41598-021-83336-4 · Cited by 27 · see citing works
Expert elicitation on paths to advance fuel cell electric vehicles
Whiston, M. M., Azevedo, I. L., Litster, S., Samaras, C., Whitefoot, K. S., & Whitacre, J. F. (2021) · Energy Policy · doi:10.1016/j.enpol.2021.112671 · Cited by 27 · see citing works
Driver-Pedestrian Perceptual Models Demonstrate Coupling: Implications for Vehicle Automation
Domeyer, J. E., Lee, J. D., Toyoda, H., Mehler, B. L., & Reimer, B. (2022) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2022.3158201 · Cited by 26 · see citing works
Trust in Automated Parking Systems
de Visser, E. J., Phillips, E. J., Tenhundfeld, N. L., Donadio, B. T., Barentine, C., Kim, B., Madison, A., Ries, A. J., & Tossell, C. C. (2022) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2023.05.018 · Cited by 25 · see citing works
Impact of Pilot's Expertise on Selection, Use, Trust, and Acceptance of Automation
Navarro, J., Allali, S., Cabrignac, N., & Cegarra, J. (2021) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2021.3090199 · Cited by 25 · see citing works
A human factors perspective on how to keep SAE Level 3 conditional automated driving safe
Gerber, M. A., Schroeter, R., & Ho, B. S. (2023) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2023.100959 · Cited by 25 · see citing works
Not in Control, but Liable? Attributing Human Responsibility for Fully Automated Vehicle Accidents
Zhai, S., Wang, L., & Liu, P. (2023) · Engineering · doi:10.1016/j.eng.2023.10.008 · Cited by 25 · see citing works
Spatial modeling and design of smart communities
Yoshida, T., Yamagata, Y., Chang, S., de Gooyert, V., Seya, H., Murakami, D., Jittrapirom, P., & Voulgaris, G. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-816055-8.00007-5 · Cited by 24 · see citing works
Doole, M., Ellerbroek, J., & Hoekstra, J. M. (2022) · Aerospace · doi:10.3390/aerospace9030120 · Cited by 23 · see citing works
Ali, H. I., Kurunathan, H., Eldefrawy, M. H., Gruian, F., & Jönsson, M. (2025) · IEEE Access · doi:10.1109/access.2025.3537800 · Cited by 22 · see citing works
Liu, H., Hirayama, T., Morales, L. Y., & Murase, H. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2073006 · Cited by 22 · see citing works
A Novel Cooperation-Guided Warning of Invisible Danger from AR-HUD to Enhance Driver’s Perception
You, F., Zhang, J., Zhang, J., Shen, L., Fang, W., Cui, W., & Wang, J. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2233734 · Cited by 22 · see citing works
Driver State and Behavior Detection Through Smart Wearables
Tavakoli, A., Kumar, S., Boukhechba, M., & Heydarian, A. (2021) · IEEE Intelligent Vehicles Symposium · doi:10.1109/iv48863.2021.9575431 · Cited by 21 · see citing works
When both human and machine drivers make mistakes: Whom to blame?
Zhai, S., Gao, S., Wang, L., & Liu, P. (2023) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2023.103637 · Cited by 21 · see citing works
Intelligent Road Management System for Autonomous, Non-Autonomous, and VIP Vehicles
Naeem, A. B., Senapati, B., Sudman, M. S. I., Bashir, K., & Ahmed, A. E. M. (2023) · World Electric Vehicle Journal · doi:10.3390/wevj14090238 · Cited by 21 · see citing works
Neuroergonomics: Where the Cortex Hits the Concrete
Hancock, P. A. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00115 · Cited by 21 · see citing works
Self-citationEffect of Takeover Request Time and Warning Modality on Trust in L3 Automated Driving
Wu, Y., Yao, X., Deng, F., & Yuan, X.-F. (2024) · Hum. Factors · doi:10.1177/00187208241278433 · Cited by 21 · see citing works
Ranjbar, P., Krishnakumari, P., Andersson, J., & Klingegård, M. (2022) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2022.100630 · Cited by 20 · see citing works
Osman, R. A. (2023) · Electronics · doi:10.3390/electronics12194023 · Cited by 20 · see citing works
Grote, G. (2023) · Ergonomics · doi:10.1080/00140139.2023.2278408 · Cited by 20 · see citing works
A MARL Approach for Optimizing Positions of VANET Aerial Base-Stations on a Sparse Highway
Jiang, B., Givigi, S. N., & Delamer, J.-A. (2021) · IEEE Access · doi:10.1109/access.2021.3108891 · Cited by 19 · see citing works
Reacting and responding to rare, uncertain and unprecedented events
Hancock, P. A. (2022) · Ergonomics · doi:10.1080/00140139.2022.2095443 · Cited by 19 · see citing works
Self-citationROMR: A ROS-based open-source mobile robot
Nwankwo, L. E., Fritze, C., Bartsch, K., & Rueckert, E. (2023) · HardwareX · doi:10.1016/j.ohx.2023.e00426 · Cited by 19 · see citing works
Zhang, X., Robson, E. N., & Waller, S. T. (2020) · Computer-Aided Civil and Infrastructure Engineering · doi:10.1111/mice.12611 · Cited by 19 · see citing works
Transduction between magnets and ions
Wang, Y., Xie, S., Bai, Y., Suo, Z., & Jia, K. (2021) · Materials Horizons · doi:10.1039/d1mh00418b · Cited by 19 · see citing works
Interactions of Automated Vehicles with Road Users
Dey, D., Ackermans, S., Martens, M., Pfleging, B., & Terken, J. M. B. (2022) · Studies in computational intelligence · doi:10.1007/978-3-030-77726-5_20 · Cited by 19 · see citing works
Navarro, J., & Hancock, P. (2022) · Theoretical Issues in Ergonomics Science · doi:10.1080/1463922x.2022.2076954 · Cited by 9 · see citing works
Self-citationLiu, C., Xu, Z., Liu, Z., Li, X., & Zhang, Y. (2024) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2024.3467091 · Cited by 18 · see citing works
Road safety, health inequity and the imminence of autonomous vehicles
Nunes, A., & Axhausen, K. W. (2021) · Nature Machine Intelligence · doi:10.1038/s42256-021-00382-3 · Cited by 18 · see citing works
Du, R., Chen, S., Li, Y., Alinizzi, M., & Labi, S. (2022) · Electronics · doi:10.3390/electronics11091350 · Cited by 18 · see citing works
Is it OK to bully automated cars?
Liu, P., Zhai, S., & Li, T. (2022) · Accident Analysis & Prevention · doi:10.1016/j.aap.2022.106714 · Cited by 18 · see citing works
A fully-actuated quadcopter representation using quaternions
Escobar, J. C., Abaunza, H., & Castillo, P. (2022) · International Journal of Control · doi:10.1080/00207179.2022.2129789 · Cited by 18 · see citing works
Understanding common human driving semantics for autonomous vehicles
Xia, Y., Geng, M., Chen, Y., Sun, S., Liao, C., Zhu, Z., Li, Z., Ochieng, W. Y., Angeloudis, P., Elhajj, M., et al. (2023) · Patterns · doi:10.1016/j.patter.2023.100730 · Cited by 18 · see citing works
Cai, J., Fu, X., Gu, Z., & Wu, R. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2212224 · Cited by 18 · see citing works
Liu, H., Hirayama, T., Saiki, L. Y. M., & Murase, H. (2020) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc45102.2020.9294696 · Cited by 18 · see citing works
Cegarra, J., Unrein, H., André, J., Mouton, O., & Navarro, J. (2025) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2025.03.023 · Cited by 17 · see citing works
Human and machine drivers: Sharing control, sharing responsibility
Zhai, S., Wang, L., & Liu, P. (2023) · Accident Analysis & Prevention · doi:10.1016/j.aap.2023.107096 · Cited by 18 · see citing works
Hancock, P. A. (2023) · Ergonomics · doi:10.1080/00140139.2023.2236822 · Cited by 17 · see citing works
Self-citationHancock, P. A. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.574097 · Cited by 17 · see citing works
Self-citationImproving single-stage object detectors for nighttime pedestrian detection
Devi, S., Thopalli, K., Malarvezhi, P., & Thiagarajan, J. J. (2022) · International Journal of Pattern Recognition and Artificial Intelligence · doi:10.1142/s0218001422500343 · Cited by 15 · see citing works
- 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 · 2018: 1
- 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
- Physical Sciences › Engineering › Automotive Engineering › Transportation and Mobility Innovations
- Social Sciences › Psychology › Social Psychology › 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
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