Overtake or not – A computer-based driving simulation experiment on drivers’ decisions during transitions in automated driving
•Drivers decide more often and faster for automated overtaking maneuvers.•Higher criticality increases decision time regarding automated overtaking maneuvers.•Standardized psychological methods give insights into decision-making of drivers.•Decision-making after non-driving related tasks inform the...
Saved in:
Published in | Transportation research. Part F, Traffic psychology and behaviour Vol. 96; pp. 285 - 300 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.07.2023
|
Subjects | |
Online Access | Get full text |
ISSN | 1369-8478 1873-5517 |
DOI | 10.1016/j.trf.2023.06.003 |
Cover
Loading…
Abstract | •Drivers decide more often and faster for automated overtaking maneuvers.•Higher criticality increases decision time regarding automated overtaking maneuvers.•Standardized psychological methods give insights into decision-making of drivers.•Decision-making after non-driving related tasks inform the design of take-overs.
The increase in automated driving changes the role of the human driver. Under SAE level 3 conditions, the driver has to be able to take back the driving task at any time. However, drivers are allowed to engage in non-driving related tasks during the automated drive, which can result in drivers being out-of-the-loop when they have to take back manual control. This raises the question of whether drivers are able to make safe decisions in such situations. In a computer-based driving simulation experiment, N = 37 participants drove in automated mode on a two-lane rural road and were distracted by a non-driving related task. Because of blocked sensors due to a slower preceding vehicle, the automated system asked the driver if an automated overtaking maneuver should be carried out or not. The selected maneuver was executed by the automated vehicle in automated mode. In a within-subject design with repeated measures, the time budget (with time pressure vs. without time pressure) and the criticality of the situation (TTC low vs. TTC middle vs. TTC high) were manipulated, and the overtaking decision, the reaction time, the certainty about the decision and the perceived criticality were measured. As a result, drivers decided more frequently and faster for the automated overtaking maneuver with time pressure. In addition, in more critical situations, drivers decided less frequently for the automated overtaking maneuver and took more time for the decision. The results provide insights into the decision-making of drivers in automated driving and can be used in the design of take-overs as well as in the development of automated driving systems to enhance traffic safety. |
---|---|
AbstractList | •Drivers decide more often and faster for automated overtaking maneuvers.•Higher criticality increases decision time regarding automated overtaking maneuvers.•Standardized psychological methods give insights into decision-making of drivers.•Decision-making after non-driving related tasks inform the design of take-overs.
The increase in automated driving changes the role of the human driver. Under SAE level 3 conditions, the driver has to be able to take back the driving task at any time. However, drivers are allowed to engage in non-driving related tasks during the automated drive, which can result in drivers being out-of-the-loop when they have to take back manual control. This raises the question of whether drivers are able to make safe decisions in such situations. In a computer-based driving simulation experiment, N = 37 participants drove in automated mode on a two-lane rural road and were distracted by a non-driving related task. Because of blocked sensors due to a slower preceding vehicle, the automated system asked the driver if an automated overtaking maneuver should be carried out or not. The selected maneuver was executed by the automated vehicle in automated mode. In a within-subject design with repeated measures, the time budget (with time pressure vs. without time pressure) and the criticality of the situation (TTC low vs. TTC middle vs. TTC high) were manipulated, and the overtaking decision, the reaction time, the certainty about the decision and the perceived criticality were measured. As a result, drivers decided more frequently and faster for the automated overtaking maneuver with time pressure. In addition, in more critical situations, drivers decided less frequently for the automated overtaking maneuver and took more time for the decision. The results provide insights into the decision-making of drivers in automated driving and can be used in the design of take-overs as well as in the development of automated driving systems to enhance traffic safety. |
Author | Miller, Linda Baumann, Martin Stoll, Tanja Leitner, Jasmin |
Author_xml | – sequence: 1 givenname: Jasmin orcidid: 0000-0001-7506-0241 surname: Leitner fullname: Leitner, Jasmin email: jasmin.leitner@uni-ulm.de organization: Ulm University, Institute of Psychology and Education, Department of Human Factors, 89069 Ulm, Germany – sequence: 2 givenname: Linda surname: Miller fullname: Miller, Linda organization: Ulm University, Institute of Psychology and Education, Department of Human Factors, 89069 Ulm, Germany – sequence: 3 givenname: Tanja surname: Stoll fullname: Stoll, Tanja organization: ZHAW School of Applied Psychology, Human Factors Psychology, Pfingstweidstrasse 96, 8005 Zürich, Switzerland – sequence: 4 givenname: Martin surname: Baumann fullname: Baumann, Martin organization: Ulm University, Institute of Psychology and Education, Department of Human Factors, 89069 Ulm, Germany |
BookMark | eNp9kM1KAzEUhYNUsK0-gLu8wIzJZGYyg6tS_INCN7oOmeSOpLaZkqRFd8VXcOXr9UnMtILgoqv7w_ku95wRGtjOAkLXlKSU0PJmkQbXphnJWErKlBB2hoa04iwpCsoHsWdlnVQ5ry7QyPsFISTPKB-iz_kWXJBvgDuHbRfwfveFJ1h1q_UmgEsa6UFj7czW2FfszWqzlMF0FsP7GpxZgQ04Tr0AnN_vvrEGZXxUeKw3roeCk9abcFgZi-UmdCsZ_q5eovNWLj1c_dYxerm_e54-JrP5w9N0MktUVvOQUCJVS9sSNNSy1oVmha5zwlhNVEl4yzRtasYYr3jBdFOxvFE0Z8DzIm9IkbEx4se7ynXeO2iFMuFgJn5oloIS0UcpFiJGKfooBSlFjDKS9B-5jtal-zjJ3B4ZiJa2BpzwyoBVoI0DFYTuzAn6B_JJk2g |
CitedBy_id | crossref_primary_10_1016_j_trf_2024_06_012 crossref_primary_10_1007_s42113_024_00207_7 crossref_primary_10_1016_j_solener_2024_112601 crossref_primary_10_1016_j_trf_2024_09_020 crossref_primary_10_1016_j_trf_2024_08_033 crossref_primary_10_1016_j_trf_2025_02_014 crossref_primary_10_1080_10447318_2024_2392069 |
Cites_doi | 10.1515/itit-2020-0021 10.1016/j.aap.2020.105788 10.1518/001872095779064555 10.1016/j.aap.2018.03.001 10.1177/0018720816685832 10.1037/0022-3514.42.1.5 10.1109/3468.844354 10.1177/0018720812442087 10.1016/j.aap.2016.04.002 10.1016/j.trf.2020.03.006 10.1016/j.trf.2019.04.020 10.1016/j.trf.2014.09.005 10.1016/j.aap.2015.02.023 10.1016/0378-7206(94)90048-5 10.1016/j.aap.2021.106216 10.4324/9781315650982 10.1016/j.aap.2017.11.009 10.1109/ITSC.2019.8917324 10.1016/j.trf.2018.09.009 10.1177/1541931213571433 10.1016/j.trf.2016.10.007 10.1007/s10111-018-0523-x 10.1007/978-3-319-96074-6_54 10.1177/1541931214581434 |
ContentType | Journal Article |
Copyright | 2023 Elsevier Ltd |
Copyright_xml | – notice: 2023 Elsevier Ltd |
DBID | AAYXX CITATION |
DOI | 10.1016/j.trf.2023.06.003 |
DatabaseName | CrossRef |
DatabaseTitle | CrossRef |
DatabaseTitleList | |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Engineering |
EISSN | 1873-5517 |
EndPage | 300 |
ExternalDocumentID | 10_1016_j_trf_2023_06_003 S1369847823001134 |
GroupedDBID | --K --M .~1 0R~ 123 1B1 1~. 1~5 29Q 4.4 457 4G. 5VS 7-5 71M 8P~ AACTN AADFP AAEDT AAEDW AAFJI AAGJA AAGUQ AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AAXUO ABFNM ABIVO ABMAC ABMMH ABOYX ABXDB ABYKQ ACDAQ ACGFS ACRLP ACXNI ADBBV ADEZE ADMUD AEBSH AEKER AFKWA AFTJW AFYLN AGHFR AGUBO AGYEJ AIEXJ AIKHN AITUG AJBFU AJOXV AKYCK ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOMHK ASPBG AVARZ AVWKF AXJTR AZFZN BKOJK BLXMC CS3 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-Q GBLVA HVGLF HZ~ IHE J1W KOM M41 MO0 N9A O-L O9- OAUVE OKEIE OZT P-8 P-9 P2P PC. PRBVW Q38 R2- RIG ROL RPZ SCU SDF SDG SES SEW SPCBC SSB SSO SSY SSZ T5K UHS ~G- AATTM AAXKI AAYWO AAYXX ABJNI ABWVN ACRPL ADNMO AEIPS AFJKZ AFXIZ AGCQF AGQPQ AGRNS AIIUN ANKPU APXCP BNPGV CITATION SSH |
ID | FETCH-LOGICAL-c297t-10acf1f6ede9a9d5d35d9403390c607f3d1b933378753db834bc143e7454b0523 |
IEDL.DBID | .~1 |
ISSN | 1369-8478 |
IngestDate | Tue Jul 01 03:59:44 EDT 2025 Thu Apr 24 23:02:12 EDT 2025 Fri Feb 23 02:36:06 EST 2024 |
IsPeerReviewed | true |
IsScholarly | true |
Keywords | Transition Automated driving Driver decision Time budget Criticality |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c297t-10acf1f6ede9a9d5d35d9403390c607f3d1b933378753db834bc143e7454b0523 |
ORCID | 0000-0001-7506-0241 |
PageCount | 16 |
ParticipantIDs | crossref_citationtrail_10_1016_j_trf_2023_06_003 crossref_primary_10_1016_j_trf_2023_06_003 elsevier_sciencedirect_doi_10_1016_j_trf_2023_06_003 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | July 2023 2023-07-00 |
PublicationDateYYYYMMDD | 2023-07-01 |
PublicationDate_xml | – month: 07 year: 2023 text: July 2023 |
PublicationDecade | 2020 |
PublicationTitle | Transportation research. Part F, Traffic psychology and behaviour |
PublicationYear | 2023 |
Publisher | Elsevier Ltd |
Publisher_xml | – name: Elsevier Ltd |
References | Merat, N., & Jamson, A. H. (2009). Is drivers’ situation awareness influenced by a fully automated driving scenario?. In Human Factors, Security and Safety. Human Factors and Ergonomics Society Europe Chapter Conference. Shaker. Parasuraman, R., Sheridan, T. B., Wickens, C. D. (2000). A model for types and levels of human interaction with automation. In Miller, Leitner, Kraus, Lee, Daimon, Kitazaki, Baumann (bib155) 2022 Scatturin, Erbach, Baumann (b0095) 2021; 63 University of Waterloo. Tabachnick, B. G., & Fidell, L. S. (2014). Using multivariate statistics (Sixth edition, Pearson New International edition). (3), 286–297. Walch, Sieber, Hock, Baumann, Weber (bib153) 2016 Routledge Taylor & Francis Group. Endsley, Kiris (bib146) 1995; 37 Feldhütter, Gold, Schneider, Bengler (b0015) 2017 Iyit, N., & Genç, A. (2007). A comparative study of fixed effects models and random intercept/slope models as a special case of linear mixed models for repeated measurements. Selcuk Journal of Applied Mathematics, 8, 57–74. 1–35. Goncalves, Louw, Quaresma, Madigan, Merat (b0035) 2020; 148 Bianchi Piccinini, Moretto, Zhou, Itoh (b0005) 2018; 59 Gescheider (b0020) 1997 Morgan, P., Alford, C., & Parkhurst, G. (2016). Handover issues in autonomous driving: A literature review. Project Report. Bristol: University of the West of England. Yan, Eilers, Ludtke, Baumann (b0130) 2016 Pearson. Gold, Happee, Bengler (b0030) 2018; 116 Jarosch, Bengler (b0055) 2019; Vol. 823 Zhang, de Winter, Varotto, Happee, Martens (b0145) 2019; 64 Rothbaum, Weisz, Snyder (b0085) 1982; 42 Wiedemann, Naujoks, Wörle, Kenntner-Mabiala, Kaussner, Neukum (b0125) 2018; 115 Politis, Brewster, Pollick (b0075) 2014 Stoll, Lanzer, Baumann (b0105) 2020; 70 Hwang (b0045) 1994; 27 Yan, F., Eilers, M., Weber, L., & Baumann, M. (2019). Investigating initial driver intention on overtaking on rural roads. In (pp. 4354–4359). IEEE. Radlmayr, Gold, Lorenz, Farid, Bengler (bib152) 2014; 58 Stoll, Müller, Baumann (b0110) 2019; 21 Walch, Woide, Mühl, Baumann, Weber (b0120) 2019 Pichen, Baumann, Stoll (b0070) 2019 Eriksson, Stanton (b0010) 2017; 59 . Scharfe, M., & Russwinkel, N. (2019). Merat, Jamson, Lai, Carsten (bib147) 2012; 54 SAE International. (2018). Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles. Lu, Happee, Cabrall, Kyriakidis, de Winter (b0060) 2016; 43 Merat, Jamson, Lai, Daly, Carsten (bib148) 2014; 27 Gold, Damböck, Lorenz, Bengler (b0025) 2013; 57 Hox, J. J., Moerbeek, M., & van Schoot, R. de. (2018). Roche (b0080) 2021; 159 (third edition). Zeeb, Buchner, Schrauf (b0140) 2015; 78 Zeeb, Buchner, Schrauf (bib151) 2016; 92 10.1016/j.trf.2023.06.003_b0135 Gold (10.1016/j.trf.2023.06.003_b0030) 2018; 116 Lu (10.1016/j.trf.2023.06.003_b0060) 2016; 43 10.1016/j.trf.2023.06.003_bib150 10.1016/j.trf.2023.06.003_b0115 Goncalves (10.1016/j.trf.2023.06.003_b0035) 2020; 148 10.1016/j.trf.2023.06.003_b0050 Roche (10.1016/j.trf.2023.06.003_b0080) 2021; 159 Walch (10.1016/j.trf.2023.06.003_bib153) 2016 Gold (10.1016/j.trf.2023.06.003_b0025) 2013; 57 Zeeb (10.1016/j.trf.2023.06.003_b0140) 2015; 78 Zhang (10.1016/j.trf.2023.06.003_b0145) 2019; 64 Merat (10.1016/j.trf.2023.06.003_bib148) 2014; 27 Gescheider (10.1016/j.trf.2023.06.003_b0020) 1997 10.1016/j.trf.2023.06.003_b0090 Hwang (10.1016/j.trf.2023.06.003_b0045) 1994; 27 Pichen (10.1016/j.trf.2023.06.003_b0070) 2019 Endsley (10.1016/j.trf.2023.06.003_bib146) 1995; 37 Politis (10.1016/j.trf.2023.06.003_b0075) 2014 Rothbaum (10.1016/j.trf.2023.06.003_b0085) 1982; 42 10.1016/j.trf.2023.06.003_bib149 Stoll (10.1016/j.trf.2023.06.003_b0105) 2020; 70 10.1016/j.trf.2023.06.003_b0100 Walch (10.1016/j.trf.2023.06.003_b0120) 2019 Zeeb (10.1016/j.trf.2023.06.003_bib151) 2016; 92 10.1016/j.trf.2023.06.003_b0040 Miller (10.1016/j.trf.2023.06.003_bib155) 2022 10.1016/j.trf.2023.06.003_b0065 Scatturin (10.1016/j.trf.2023.06.003_b0095) 2021; 63 Eriksson (10.1016/j.trf.2023.06.003_b0010) 2017; 59 Yan (10.1016/j.trf.2023.06.003_b0130) 2016 Feldhütter (10.1016/j.trf.2023.06.003_b0015) 2017 Jarosch (10.1016/j.trf.2023.06.003_b0055) 2019; Vol. 823 Bianchi Piccinini (10.1016/j.trf.2023.06.003_b0005) 2018; 59 Merat (10.1016/j.trf.2023.06.003_bib147) 2012; 54 Radlmayr (10.1016/j.trf.2023.06.003_bib152) 2014; 58 Wiedemann (10.1016/j.trf.2023.06.003_b0125) 2018; 115 Stoll (10.1016/j.trf.2023.06.003_b0110) 2019; 21 |
References_xml | – reference: Morgan, P., Alford, C., & Parkhurst, G. (2016). Handover issues in autonomous driving: A literature review. Project Report. Bristol: University of the West of England. – reference: (pp. 4354–4359). IEEE. – reference: Parasuraman, R., Sheridan, T. B., Wickens, C. D. (2000). A model for types and levels of human interaction with automation. In – reference: . Pearson. – volume: Vol. 823 start-page: 512 year: 2019 end-page: 523 ident: b0055 article-title: Is it the duration of the ride or the non-driving related task? What affects take-over performance in conditional automated driving? publication-title: Advances in Intelligent Systems and Computing: Vol. 823. Proceedings of the 20th Congress of the International Ergonomics Association – volume: 59 start-page: 689 year: 2017 end-page: 705 ident: b0010 article-title: Takeover time in highly automated vehicles: Noncritical transitions to and from manual control publication-title: Human Factors – reference: (third edition). – reference: Merat, N., & Jamson, A. H. (2009). Is drivers’ situation awareness influenced by a fully automated driving scenario?. In Human Factors, Security and Safety. Human Factors and Ergonomics Society Europe Chapter Conference. Shaker. – volume: 54 start-page: 762 year: 2012 end-page: 771 ident: bib147 article-title: Highly automated driving, secondary task performance, and driver state publication-title: Human Factors – volume: 78 start-page: 212 year: 2015 end-page: 221 ident: b0140 article-title: What determines the take-over time? An integrated model approach of driver take-over after automated driving publication-title: Accident Analysis and Prevention – volume: 115 start-page: 89 year: 2018 end-page: 97 ident: b0125 article-title: Effect of different alcohol levels on take-over performance in conditionally automated driving publication-title: Accident Analysis and Prevention – volume: 57 start-page: 1938 year: 2013 end-page: 1942 ident: b0025 article-title: “Take over!” How long does it take to get the driver back into the loop? publication-title: Proceedings of the Human Factors and Ergonomics Society Annual Meeting – volume: 116 start-page: 3 year: 2018 end-page: 13 ident: b0030 article-title: Modeling take-over performance in level 3 conditionally automated vehicles publication-title: Accident Analysis and Prevention – reference: , 1–35. – reference: Tabachnick, B. G., & Fidell, L. S. (2014). Using multivariate statistics (Sixth edition, Pearson New International edition). – volume: 43 start-page: 183 year: 2016 end-page: 198 ident: b0060 article-title: Human factors of transitions in automated driving: A general framework and literature survey publication-title: Transportation Research Part F: Traffic Psychology and Behaviour – reference: SAE International. (2018). Taxonomy and definitions for terms related to driving automation systems for on-road motor vehicles. – volume: 58 start-page: 2063 year: 2014 end-page: 2067 ident: bib152 article-title: How traffic situations and non-driving related tasks affect the take-over quality in highly automated driving publication-title: Proceedings of the Human Factors and Ergonomics Society Annual Meeting – reference: Iyit, N., & Genç, A. (2007). A comparative study of fixed effects models and random intercept/slope models as a special case of linear mixed models for repeated measurements. Selcuk Journal of Applied Mathematics, 8, 57–74. – reference: Yan, F., Eilers, M., Weber, L., & Baumann, M. (2019). Investigating initial driver intention on overtaking on rural roads. In – reference: . University of Waterloo. – volume: 70 start-page: 223 year: 2020 end-page: 234 ident: b0105 article-title: Situational influencing factors on understanding cooperative actions in automated driving publication-title: Transportation Research Part F: Traffic Psychology and Behaviour – year: 1997 ident: b0020 article-title: Psychophysics: The Fundamentals – volume: 59 start-page: 378 year: 2018 end-page: 388 ident: b0005 article-title: Influence of oncoming traffic on drivers’ overtaking of cyclists publication-title: Transportation Research Part F: Traffic Psychology and Behaviour – volume: 27 start-page: 197 year: 1994 end-page: 203 ident: b0045 article-title: Decision making under time pressure: A model for information systems research publication-title: Information & Management – reference: . Routledge Taylor & Francis Group. – reference: (3), 286–297. – volume: 37 start-page: 381 year: 1995 end-page: 394 ident: bib146 article-title: The out-of-the-loop performance problem and level of control in automation publication-title: Human Factors – start-page: 1048 year: 2022 end-page: 1053 ident: bib155 article-title: Time to arrival as predictor for uncertainty and cooperative driving decisions in highly automated driving publication-title: Proceedings of the 33rd IEEE Intelligent Vehicle Symposium (IV22) – start-page: 144 year: 2019 end-page: 155 ident: b0120 article-title: Cooperative overtaking: Overcoming automated vehicles’ obstructed sensor range via driver help publication-title: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications – start-page: 261 year: 2016 end-page: 268 ident: bib153 article-title: Towards cooperative driving: Involving the driver in an autonomous vehicle’s decision making publication-title: Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications – volume: 148 year: 2020 ident: b0035 article-title: The effect of motor control requirements on drivers' eye-gaze pattern during automated driving publication-title: Accident Analysis and Prevention – volume: 64 start-page: 285 year: 2019 end-page: 307 ident: b0145 article-title: Determinants of take-over time from automated driving: A meta-analysis of 129 studies publication-title: Transportation Research Part F: Traffic Psychology and Behaviour – reference: . – volume: 21 start-page: 21 year: 2019 end-page: 31 ident: b0110 article-title: When cooperation is needed: The effect of spatial and time distance and criticality on willingness to cooperate publication-title: Cognition, Technology & Work – start-page: 406 year: 2016 end-page: 411 ident: b0130 article-title: Developing a model of driver's uncertainty in lane change situations for trustworthy lane change decision aid systems publication-title: IEEE Intelligent Vehicles Symposium (IV) – reference: Hox, J. J., Moerbeek, M., & van Schoot, R. de. (2018). – volume: 27 start-page: 274 year: 2014 end-page: 282 ident: bib148 article-title: Transition to manual: Driver behaviour when resuming control from a highly automated vehicle publication-title: Transportation Research Part F: Traffic Psychology and Behaviour – volume: 63 start-page: 87 year: 2021 end-page: 97 ident: b0095 article-title: When does the driver feel ready to drive again after automated driving? – A qualitative approach publication-title: it - Information Technology – volume: 92 start-page: 230 year: 2016 end-page: 239 ident: bib151 article-title: Is take-over time all that matters? The impact of visual-cognitive load on driver take-over quality after conditionally automated driving publication-title: Accident Analysis and Prevention – start-page: 309 year: 2017 end-page: 318 ident: b0015 article-title: How the duration of automated driving influences take-over performance and gaze behavior publication-title: Advances in Ergonomic Design of Systems, Products and Processes – start-page: 199 year: 2019 end-page: 204 ident: b0070 article-title: Stuck behind a truck: A cooperative interaction design approach to efficiently cope with the limitations of automated systems publication-title: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings – start-page: 4067 year: 2014 end-page: 4076 ident: b0075 article-title: Evaluating multimodal driver displays under varying situational urgency publication-title: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems – volume: 159 year: 2021 ident: b0080 article-title: Assessing subjective criticality of take-over situations: Validation of two rating scales publication-title: Accident Analysis and Prevention – volume: 42 start-page: 5 year: 1982 end-page: 37 ident: b0085 article-title: Changing the world and changing the self: A two-process model of perceived control publication-title: Journal of Personality and Social Psychology – reference: Scharfe, M., & Russwinkel, N. (2019). – start-page: 1048 year: 2022 ident: 10.1016/j.trf.2023.06.003_bib155 article-title: Time to arrival as predictor for uncertainty and cooperative driving decisions in highly automated driving – ident: 10.1016/j.trf.2023.06.003_b0090 – volume: 63 start-page: 87 year: 2021 ident: 10.1016/j.trf.2023.06.003_b0095 article-title: When does the driver feel ready to drive again after automated driving? – A qualitative approach publication-title: it - Information Technology doi: 10.1515/itit-2020-0021 – volume: 148 year: 2020 ident: 10.1016/j.trf.2023.06.003_b0035 article-title: The effect of motor control requirements on drivers' eye-gaze pattern during automated driving publication-title: Accident Analysis and Prevention doi: 10.1016/j.aap.2020.105788 – volume: 37 start-page: 381 issue: 2 year: 1995 ident: 10.1016/j.trf.2023.06.003_bib146 article-title: The out-of-the-loop performance problem and level of control in automation publication-title: Human Factors doi: 10.1518/001872095779064555 – start-page: 261 year: 2016 ident: 10.1016/j.trf.2023.06.003_bib153 article-title: Towards cooperative driving: Involving the driver in an autonomous vehicle’s decision making – volume: 115 start-page: 89 year: 2018 ident: 10.1016/j.trf.2023.06.003_b0125 article-title: Effect of different alcohol levels on take-over performance in conditionally automated driving publication-title: Accident Analysis and Prevention doi: 10.1016/j.aap.2018.03.001 – volume: 59 start-page: 689 issue: 4 year: 2017 ident: 10.1016/j.trf.2023.06.003_b0010 article-title: Takeover time in highly automated vehicles: Noncritical transitions to and from manual control publication-title: Human Factors doi: 10.1177/0018720816685832 – ident: 10.1016/j.trf.2023.06.003_b0050 – ident: 10.1016/j.trf.2023.06.003_bib149 – start-page: 406 year: 2016 ident: 10.1016/j.trf.2023.06.003_b0130 article-title: Developing a model of driver's uncertainty in lane change situations for trustworthy lane change decision aid systems – year: 1997 ident: 10.1016/j.trf.2023.06.003_b0020 – volume: 42 start-page: 5 issue: 1 year: 1982 ident: 10.1016/j.trf.2023.06.003_b0085 article-title: Changing the world and changing the self: A two-process model of perceived control publication-title: Journal of Personality and Social Psychology doi: 10.1037/0022-3514.42.1.5 – ident: 10.1016/j.trf.2023.06.003_b0065 doi: 10.1109/3468.844354 – volume: 54 start-page: 762 issue: 5 year: 2012 ident: 10.1016/j.trf.2023.06.003_bib147 article-title: Highly automated driving, secondary task performance, and driver state publication-title: Human Factors doi: 10.1177/0018720812442087 – start-page: 144 year: 2019 ident: 10.1016/j.trf.2023.06.003_b0120 article-title: Cooperative overtaking: Overcoming automated vehicles’ obstructed sensor range via driver help – volume: 92 start-page: 230 year: 2016 ident: 10.1016/j.trf.2023.06.003_bib151 article-title: Is take-over time all that matters? The impact of visual-cognitive load on driver take-over quality after conditionally automated driving publication-title: Accident Analysis and Prevention doi: 10.1016/j.aap.2016.04.002 – volume: 70 start-page: 223 year: 2020 ident: 10.1016/j.trf.2023.06.003_b0105 article-title: Situational influencing factors on understanding cooperative actions in automated driving publication-title: Transportation Research Part F: Traffic Psychology and Behaviour doi: 10.1016/j.trf.2020.03.006 – volume: 64 start-page: 285 year: 2019 ident: 10.1016/j.trf.2023.06.003_b0145 article-title: Determinants of take-over time from automated driving: A meta-analysis of 129 studies publication-title: Transportation Research Part F: Traffic Psychology and Behaviour doi: 10.1016/j.trf.2019.04.020 – volume: 27 start-page: 274 year: 2014 ident: 10.1016/j.trf.2023.06.003_bib148 article-title: Transition to manual: Driver behaviour when resuming control from a highly automated vehicle publication-title: Transportation Research Part F: Traffic Psychology and Behaviour doi: 10.1016/j.trf.2014.09.005 – ident: 10.1016/j.trf.2023.06.003_bib150 – volume: 78 start-page: 212 year: 2015 ident: 10.1016/j.trf.2023.06.003_b0140 article-title: What determines the take-over time? An integrated model approach of driver take-over after automated driving publication-title: Accident Analysis and Prevention doi: 10.1016/j.aap.2015.02.023 – ident: 10.1016/j.trf.2023.06.003_b0100 – volume: 27 start-page: 197 issue: 4 year: 1994 ident: 10.1016/j.trf.2023.06.003_b0045 article-title: Decision making under time pressure: A model for information systems research publication-title: Information & Management doi: 10.1016/0378-7206(94)90048-5 – start-page: 309 year: 2017 ident: 10.1016/j.trf.2023.06.003_b0015 article-title: How the duration of automated driving influences take-over performance and gaze behavior – volume: 159 year: 2021 ident: 10.1016/j.trf.2023.06.003_b0080 article-title: Assessing subjective criticality of take-over situations: Validation of two rating scales publication-title: Accident Analysis and Prevention doi: 10.1016/j.aap.2021.106216 – start-page: 4067 year: 2014 ident: 10.1016/j.trf.2023.06.003_b0075 article-title: Evaluating multimodal driver displays under varying situational urgency – ident: 10.1016/j.trf.2023.06.003_b0040 doi: 10.4324/9781315650982 – volume: 116 start-page: 3 year: 2018 ident: 10.1016/j.trf.2023.06.003_b0030 article-title: Modeling take-over performance in level 3 conditionally automated vehicles publication-title: Accident Analysis and Prevention doi: 10.1016/j.aap.2017.11.009 – ident: 10.1016/j.trf.2023.06.003_b0115 – ident: 10.1016/j.trf.2023.06.003_b0135 doi: 10.1109/ITSC.2019.8917324 – volume: 59 start-page: 378 year: 2018 ident: 10.1016/j.trf.2023.06.003_b0005 article-title: Influence of oncoming traffic on drivers’ overtaking of cyclists publication-title: Transportation Research Part F: Traffic Psychology and Behaviour doi: 10.1016/j.trf.2018.09.009 – volume: 57 start-page: 1938 issue: 1 year: 2013 ident: 10.1016/j.trf.2023.06.003_b0025 article-title: “Take over!” How long does it take to get the driver back into the loop? publication-title: Proceedings of the Human Factors and Ergonomics Society Annual Meeting doi: 10.1177/1541931213571433 – volume: 43 start-page: 183 year: 2016 ident: 10.1016/j.trf.2023.06.003_b0060 article-title: Human factors of transitions in automated driving: A general framework and literature survey publication-title: Transportation Research Part F: Traffic Psychology and Behaviour doi: 10.1016/j.trf.2016.10.007 – start-page: 199 year: 2019 ident: 10.1016/j.trf.2023.06.003_b0070 article-title: Stuck behind a truck: A cooperative interaction design approach to efficiently cope with the limitations of automated systems – volume: 21 start-page: 21 issue: 1 year: 2019 ident: 10.1016/j.trf.2023.06.003_b0110 article-title: When cooperation is needed: The effect of spatial and time distance and criticality on willingness to cooperate publication-title: Cognition, Technology & Work doi: 10.1007/s10111-018-0523-x – volume: Vol. 823 start-page: 512 year: 2019 ident: 10.1016/j.trf.2023.06.003_b0055 article-title: Is it the duration of the ride or the non-driving related task? What affects take-over performance in conditional automated driving? doi: 10.1007/978-3-319-96074-6_54 – volume: 58 start-page: 2063 issue: 1 year: 2014 ident: 10.1016/j.trf.2023.06.003_bib152 article-title: How traffic situations and non-driving related tasks affect the take-over quality in highly automated driving publication-title: Proceedings of the Human Factors and Ergonomics Society Annual Meeting doi: 10.1177/1541931214581434 |
SSID | ssj0004217 |
Score | 2.386141 |
Snippet | •Drivers decide more often and faster for automated overtaking maneuvers.•Higher criticality increases decision time regarding automated overtaking... |
SourceID | crossref elsevier |
SourceType | Enrichment Source Index Database Publisher |
StartPage | 285 |
SubjectTerms | Automated driving Criticality Driver decision Time budget Transition |
Title | Overtake or not – A computer-based driving simulation experiment on drivers’ decisions during transitions in automated driving |
URI | https://dx.doi.org/10.1016/j.trf.2023.06.003 |
Volume | 96 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LS8QwEA6iFz2IT3wuOXgS6rZN-shxEZdVUQ-64K3kVaiPdtmtVxH_gif_nr_ETJq6q6AHTyVlUkpmmJkk38yH0IGIQpGKlHrMPD3K_dTjPM89IWMJG44ktXVrF5fxYEjPbqPbOXTc1sIArNL5_sanW2_t3nTdanZHRdG9DkjMjG-FmyJjpAR6glKagJUfPU9hHjS0rLsg7IF0e7NpMV617eIZEtvCs-XN-hmbZuJNfwUtu0QR95p_WUVzulxDSzPtA9fR6xWQKfN7jasxLqsaf7y84R6WjqjBgwilsBoXcGiAJ8Wjo-rC07b-2IxAwCSBHy_vWDnGnQluyhdxDaGsQXXhosT8qa5Mijv96gYa9k9ujgee41TwZMiS2nhdLvMgj7XSjDMVKRIpRn1CmC9jP8mJCgQjhCSwj1EiJVRIk1LphEZUwBHyJpovq1JvIRxLoQOToYU80TRQhIciYDz2SRiFUKi-jfx2NTPpGo4D78VD1iLL7jKjgAwUkFl0HdlGh19TRk23jb-Eaaui7JvJZCYa_D5t53_TdtEijBqk7h6ar8dPet_kI7XoWIProIXe6fng8hO5BOKN |
linkProvider | Elsevier |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV25TsQwEB3BUgAF4hQ3LqiQok3iXC5XCLRcSwFIdJGvSOFIVruhR_wCFb_Hl-BJHBaQoKCKksxEkT2aGdsz7wHsi9AXiUgCh5mrE3A3cTjPMkfISOKCI07qvrWLQdS_CU5vw9spOGx7YbCs0vr-xqfX3to-6drR7A7zvHvl0YgZ34onRcZIaTANM4hOFXZgpndy1h9M2iP9mngX5R1UaA836zKvqgby9GmN4tlSZ_0MT19CzvEiLNhckfSa31mCKV0sw_wXBMEVeLlEPmV-r0k5IkVZkffnV9Ij0nI1OBikFFGjHPcNyDh_tGxdZILsT8wdCpg88P35jShLujMmTQcjqTCaNYVdJC8If6pKk-VOvroKN8dH14d9x9IqONJncWUcL5eZl0VaacaZChUNFQtcSpkrIzfOqPIEo5TGuJRRIqGBkCar0rEZXYG7yGvQKcpCrwOJpNCeSdJ8HuvAU5T7wmM8cqkf-tirvgFuO5qptJjjSH3xkLbFZXepmYAUJyCtC-zoBhx8qgwbwI2_hIN2itJvVpOagPC72ub_1PZgtn99cZ6enwzOtmAO3zSFu9vQqUZPesekJ5XYteb3AX3A5T4 |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Overtake+or+not+%E2%80%93+A+computer-based+driving+simulation+experiment+on+drivers%E2%80%99+decisions+during+transitions+in+automated+driving&rft.jtitle=Transportation+research.+Part+F%2C+Traffic+psychology+and+behaviour&rft.au=Leitner%2C+Jasmin&rft.au=Miller%2C+Linda&rft.au=Stoll%2C+Tanja&rft.au=Baumann%2C+Martin&rft.date=2023-07-01&rft.issn=1369-8478&rft.volume=96&rft.spage=285&rft.epage=300&rft_id=info:doi/10.1016%2Fj.trf.2023.06.003&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_trf_2023_06_003 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1369-8478&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1369-8478&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1369-8478&client=summon |