The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Taking Over Control From Highly Automated Vehicles in Complex Traffic Situations: The Role of Traffic Density
Abstract
Objective: The aim of this study was to quantify the impact of traffic density and verbal tasks on takeover performance in highly automated driving. Background: In highly automated vehicles, the driver has to occasionally take over vehicle control when approaching system limits. To ensure safety, the ability of the driver to regain control of the driving task under various driving situations and different driver states needs to be quantified. Methods: Seventy-two participants experienced takeover situations requiring an evasive maneuver on a three-lane highway with varying traffic density (zero, 10, and 20 vehicles per kilometer). In a between-subjects design, half of the participants were engaged in a verbal 20-Questions Task, representing speaking on the phone while driving in a highly automated vehicle. Results: The presence of traffic in takeover situations led to longer takeover times and worse takeover quality in the form of shorter time to collision and more collisions. The 20-Questions Task did not influence takeover time but seemed to have minor effects on the takeover quality. Conclusions: For the design and evaluation of human–machine interaction in takeover situations of highly automated vehicles, the traffic state seems to play a major role, compared to the driver state, manipulated by the 20-Questions Task. Application: The present results can be used by developers of highly automated systems to appropriately design human–machine interfaces and to assess the driver’s time budget for regaining control.
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Citations
Cites
Cell phone-induced failures of visual attention during simulated driving.
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“Take over!” How long does it take to get the driver back into the loop?
Gold, C., Damböck, D., Lorenz, L., & Bengler, K. (2013) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1541931213571433 · Cited by 754
Self-citationA Comparison of the Cell Phone Driver and the Drunk Driver
Strayer, D. L., Drews, F. A., & Crouch, D. J. (2006) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872006777724471 · Cited by 580
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Profiles in Driver Distraction: Effects of Cell Phone Conversations on Younger and Older Drivers
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Radlmayr, J., Gold, C., Lorenz, L., Farid, M., & Bengler, K. (2014) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1541931214581434 · Cited by 448
Self-citationHighly Automated Driving, Secondary Task Performance, and Driver State
Merat, N., Jamson, A. H., Lai, F. C. H., & Carsten, O. (2012) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720812442087 · Cited by 393
Evaluating perception in driving simulation experiments
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Cited by
A Survey of Autonomous Driving: Common Practices and Emerging Technologies
Yurtsever, E., Lambert, J., Carballo, A., & Takeda, K. (2020) · IEEE Access · doi:10.1109/access.2020.2983149 · Cited by 1,889
“Recent studies [36], [37] investigated this problem and found that the takeover”
BackgroundDeterminants of take-over time from automated driving: A meta-analysis of 129 studies
Zhang, B., de Winter, J., Varotto, S., Happee, R., & Martens, M. (2019) · Transportation Research Part F: Traffic Psychology and Behaviour · doi:10.1016/j.trf.2019.04.020 · Cited by 431
McDonald, A. D., Alambeigi, H., Engström, J., Markkula, G., Vogelpohl, T., Dunne, J., & Yuma, N. (2019) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720819829572 · Cited by 286
Kraus, J., Scholz, D., Stiegemeier, D., & Baumann, M. (2020) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720819853686 · Cited by 276
Molnar, L. J., Ryan, L. H., Pradhan, A. K., Eby, D. W., St. Louis, R. M., & Zakrajsek, J. S. (2018) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2018.06.004 · Cited by 172
Metadata
- Authors
- Gold, C., Körber, M., Lechner, D., & Bengler, K.
- Venue
- Human Factors: The Journal of the Human Factors and Ergonomics Society
- Publisher
- SAGE Publications
- Published
- 2016-03-16
- Volume
- 58
- Issue
- 4
- Pages
- 642-652
- ISSN
- 0018-7208 (ISSN-L)
- 1547-8181
- OpenAlex
- W2301212998
- Cited by
- 440
- References
- 21
- FWCI
- 49.17
- Type
- journal article
- Language
- en
- Open access
- closed
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- Gold, C., Körber, M., Lechner, D., & Bengler, K. (2016). Taking Over Control From Highly Automated Vehicles in Complex Traffic Situations: The Role of Traffic Density. Human Factors: The Journal of the Human Factors and Ergonomics Society. https://doi.org/10.1177/0018720816634226
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