{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T19:50:17Z","timestamp":1772826617193,"version":"3.50.1"},"reference-count":42,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2023,9,16]],"date-time":"2023-09-16T00:00:00Z","timestamp":1694822400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["52202419"],"award-info":[{"award-number":["52202419"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>Highways are one of the most suitable scenarios for automated driving technology. For conditionally automated driving, drivers are required to take over the vehicle when the system reaches its boundary. Therefore, it is necessary to evaluate the driver\u2019s takeover performance and take-over safety differences under typical segments of highways. The experiment was conducted in a driving simulator. Three typical highway segments were constructed: a long straight segment, a merging segment and a diverging segment. Under each segment, a 2 \u00d7 2 factorial design was adopted, including two traffic densities (high density and low density) and two kinds of time budget (5 s and 7 s). The results showed that time budget and traffic density affected drivers\u2019 take-over performance and safety. As the time budget decreased, the driver\u2019s reaction time decreased and the braking amplitude increased. As traffic density increased, the lateral deviation rate increased. The maximum steering angle and steering wheel reversal rate in general tended to increase with scenario urgency. Meanwhile, drivers paid more attention to the longitudinal control on the long straight segment, which was reflected in the maximum braking amplitude and directional reversal rate. However, drivers paid more attention to the lateral control on the diverging segment, which was reflected in the maximum lateral deviation rate and the minimum steering wheel reversal rate. The study will contribute to the safety assessment of take-over behavior in highway avoidance scenarios and provide a theoretical basis for the design of a human\u2013machine interaction system.<\/jats:p>","DOI":"10.3390\/systems11090475","type":"journal-article","created":{"date-parts":[[2023,9,17]],"date-time":"2023-09-17T23:32:27Z","timestamp":1694993547000},"page":"475","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Take-Over Safety Evaluation of Conditionally Automated Vehicles under Typical Highway Segments"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2580-7500","authenticated-orcid":false,"given":"Yi","family":"Li","sequence":"first","affiliation":[{"name":"Logistics Research Center, Shanghai Maritime University, Shanghai 201306, China"}]},{"given":"Zhaoze","family":"Xuan","sequence":"additional","affiliation":[{"name":"Logistics Research Center, Shanghai Maritime University, Shanghai 201306, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,9,16]]},"reference":[{"key":"ref_1","unstructured":"SAE (2014). On-Road Automated Vehicle Standards Committee. SAE J3016: Taxonomy and Definitions for Terms Related to On-Road Motor Vehicle Automated Driving Systems, SAE International."},{"key":"ref_2","unstructured":"(2023, June 10). State of California Department of Motor Vehicles, 2019. Testing of Autonomous Vehicles with a Driver, Available online: https:\/\/www.dmv.ca.gov\/portal\/dmv\/detail\/vr\/autonomous\/testing."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.aap.2017.11.009","article-title":"Modeling Take-over Performance in Level 3 Conditionally Automated Vehicles","volume":"116","author":"Gold","year":"2018","journal-title":"Accid. Anal. Prev."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Gold, C., Damb\u00f6ck, D., Lorenz, L., and Bengler, K. (October, January 30). Take over! How Long Does It Take to Get the Driver Back into the Loop?. Proceedings of the Human Factors and Ergonomics Society 57th Annual Meeting, Los Angeles, CA, USA.","DOI":"10.1177\/1541931213571433"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Ito, T., Takata, A., and Oosawa, K. (2016). Time Required for Take-Over from Automated to Manual Driving, SAE International.","DOI":"10.4271\/2016-01-0158"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"115","DOI":"10.3141\/2602-14","article-title":"Minimum Time to Situation Awareness in Scenarios Involving Transfer of Control from an Automated Driving Suite","volume":"2602","author":"Samuel","year":"2016","journal-title":"Transp. Res. Rec."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"689","DOI":"10.1177\/0018720816685832","article-title":"Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and from Manual Control","volume":"59","author":"Eriksson","year":"2017","journal-title":"Hum. Factors"},{"key":"ref_8","first-page":"186","article-title":"How Visual Cues on Steering Wheel Improve Users\u2019 Trust, Experience, and Acceptance in Automated Vehicles","volume":"Volume 1212","author":"Muthumani","year":"2020","journal-title":"Advances in Human Aspects of Transportation, Proceedings of the AHFE 2020 Advances in Human Aspects of Transportation, Virtual, 16\u201320 July 2020"},{"key":"ref_9","first-page":"3","article-title":"Language-Based Multimodal Displays for the Handover of Control in Autonomous Cars","volume":"Volume 2015","author":"Politis","year":"2015","journal-title":"Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Automotive UI 2015"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1016\/j.apergo.2017.02.023","article-title":"Take-over Again: Investigating Multimodal and Directional TORs to Get the Driver Back into the Loop","volume":"62","author":"Petermeijer","year":"2017","journal-title":"Appl. Ergon."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Baek, S.J., Yang, J.H., and Yun, H. (2019, January 21\u201325). How Do Humans Respond When Automated Vehicles Request an Immediate Vehicle Control Take-Over?. Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings, Utrecht, The Netherlands.","DOI":"10.1145\/3349263.3351496"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1016\/j.aap.2016.12.001","article-title":"Comparing Spatially Static and Dynamic Vibrotactile Take-over Requests in the Driver Seat","volume":"99","author":"Petermeijer","year":"2017","journal-title":"Accid. Anal. Prev."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.aap.2017.09.019","article-title":"Driver Compliance to Take-over Requests with Different Auditory Outputs in Conditional Automation","volume":"109","author":"Forster","year":"2017","journal-title":"Accid. Anal. Prev."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/j.apergo.2017.05.001","article-title":"Analyzing Crowdsourced Ratings of Speech-Based Take-over Requests for Automated Driving","volume":"64","author":"Bazilinskyy","year":"2017","journal-title":"Appl. Ergon."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1518\/0018720024494810","article-title":"The Perceived Urgency of Speech Warnings: Semantics versus Acoustics","volume":"44","author":"Hellier","year":"2002","journal-title":"Hum. Factors"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Du, N., Kim, J., Zhou, F., Pulver, E., Tilbury, D.M., Robert, L.P., Pradhan, A.K., and Yang, X.J. (2020, January 21\u201322). Evaluating Effects of Cognitive Load, Takeover Request Lead Time, and Traffic Density on Drivers\u2019 Takeover Performance in Conditionally Automated Driving. Proceedings of the 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Virtual.","DOI":"10.1145\/3409120.3410666"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.trc.2017.01.001","article-title":"Are You in the Loop? Using Gaze Dispersion to Understand Driver Visual Attention during Vehicle Automation","volume":"76","author":"Louw","year":"2017","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"642","DOI":"10.1177\/0018720816634226","article-title":"Taking over Control from Highly Automated Vehicles in Complex Traffic Situations","volume":"58","author":"Gold","year":"2016","journal-title":"Hum. Factors"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.trf.2016.03.002","article-title":"The Influence of Age on the Take-over of Vehicle Control in Highly Automated Driving","volume":"39","author":"Gold","year":"2016","journal-title":"Transp. Res. Part F Traffic Psychol. Behav."},{"key":"ref_20","unstructured":"Radlmayr, J., Gold, C., Lorenz, L., Farid, M., and Bengler, K. (, January September). How Traffic Situations and Non-Driving Related Tasks Affect the Take-over Quality in Highly Automated Driving. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Los Angeles, CA, USA."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"6173150","DOI":"10.1155\/2020\/6173150","article-title":"Takeover Quality: Assessing the Effects of Time Budget and Traffic Density with the Help of a Trajectory-Planning Method","volume":"2020","author":"Doubek","year":"2020","journal-title":"J. Adv. Transp."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"605","DOI":"10.1016\/j.aap.2010.08.019","article-title":"Safety Performance Evaluation of Left-Side off-Ramps at Freeway Diverge Areas","volume":"43","author":"Chen","year":"2011","journal-title":"Accid. Anal. Prev."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.apergo.2017.06.001","article-title":"Driver Performance and Attention Allocation in Use of Logo Signs on Freeway Exit Ramps","volume":"65","author":"Zahabi","year":"2017","journal-title":"Appl. Ergon."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"546","DOI":"10.1016\/j.trf.2019.02.009","article-title":"Investigation of Older Drivers\u2019 Requirements of the Human-Machine Interaction in Highly Automated Vehicles","volume":"62","author":"Li","year":"2019","journal-title":"Transp. Res. Part F Traffic Psychol. Behav."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"106216","DOI":"10.1016\/j.aap.2021.106216","article-title":"Assessing Subjective Criticality of Take-over Situations: Validation of Two Rating Scales","volume":"159","author":"Roche","year":"2021","journal-title":"Accid. Anal. Prev."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1016\/j.aap.2019.06.011","article-title":"In a Heart Beat: Using Driver\u2019s Physiological Changes to Determine the Quality of a Takeover in Highly Automated Vehicles","volume":"131","author":"Alrefaie","year":"2019","journal-title":"Accid. Anal. Prev."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.trf.2021.12.007","article-title":"How to identify the take-over criticality in conditionally automated driving? An examination using drivers\u2019 physiological parameters and situational factors","volume":"85","author":"Yi","year":"2022","journal-title":"Transp. Res. Part F Traffic Psychol. Behav."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"106647","DOI":"10.1016\/j.aap.2022.106647","article-title":"Does a faster takeover necessarily mean it is better? A study on the influence of urgency and takeover-request lead time on takeover performance and safety","volume":"171","author":"Wu","year":"2022","journal-title":"Accid. Anal. Prev."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/j.aap.2017.04.017","article-title":"Take-over Performance in Evasive Manoeuvres","volume":"106","author":"Happee","year":"2017","journal-title":"Accid. Anal. Prev."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.aap.2016.07.032","article-title":"Identifying Cognitive Distraction Using Steering Wheel Reversal Rates","volume":"96","author":"Kountouriotis","year":"2016","journal-title":"Accid. Anal. Prev."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.aap.2015.12.027","article-title":"Leading to distraction: Driver distraction, lead car, and road environment","volume":"89","author":"Kountouriotis","year":"2016","journal-title":"Accid. Anal. Prev."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"105918","DOI":"10.1016\/j.aap.2020.105918","article-title":"Sleep inertia in automated driving: Post-sleep take-over and driving performance","volume":"150","author":"Wrle","year":"2021","journal-title":"Accid. Anal. Prev."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Gong, J., Guo, X., Pan, L., Qi, C., and Wang, Y. (2022). Impact of Age on Takeover Behavior in Automated Driving in Complex Traffic Situations: A Case Study of Beijing, China. Sustainability, 14.","DOI":"10.3390\/su14010483"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"105543","DOI":"10.1016\/j.aap.2020.105543","article-title":"Understanding take-over performance of high crash risk drivers during conditionally automated driving","volume":"143","author":"Lin","year":"2020","journal-title":"Accid. Anal. Prev."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"9580","DOI":"10.1109\/TITS.2022.3154329","article-title":"Predicting Driver Takeover Time in Conditionally Automated Driving","volume":"23","author":"Ayoub","year":"2022","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1289","DOI":"10.1109\/JAS.2020.1003294","article-title":"Decision-making in driver-automation shared control: A review and perspectives","volume":"7","author":"Wang","year":"2020","journal-title":"IEEE\/CAA J. Autom. Sin."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.aap.2015.07.007","article-title":"Driving risk assessment using near-crash database through data mining of tree-based model","volume":"84","author":"Wang","year":"2015","journal-title":"Accid. Anal. Prev."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Yang, W., Wu, Z., Tang, J., and Liang, Y. (2023). Assessing the Effects of Modalities of Takeover Request, Lead Time of Takeover Request, and Traffic Conditions on Takeover Performance in Conditionally Automated Driving. Sustainability, 15.","DOI":"10.3390\/su15097270"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/j.trf.2005.04.012","article-title":"Effects of visual and cognitive load in real and simulated motorway driving","volume":"8","author":"Engstroem","year":"2005","journal-title":"Transp. Res. Part F Traffic Psychol. Behav."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"104","DOI":"10.3141\/2602-13","article-title":"Validation of a Low-Cost Driving Simulator Based on Continuous Speed Profiles","volume":"2602","author":"Dols","year":"2016","journal-title":"Transp. Res. Rec."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"891431","DOI":"10.1155\/2013\/891431","article-title":"Comparing Expert Driving Behavior in Real World and Simulator Contexts","volume":"2013","author":"Ekanayake","year":"2013","journal-title":"Int. J. Comput. Games Technol."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"04020003","DOI":"10.1061\/JTEPBS.0000320","article-title":"Predicting Traffic Conflicts for Expressway Diverging Areas Using Vehicle Trajectory Data","volume":"146","author":"Ma","year":"2020","journal-title":"J. Transp. Eng. Part A Syst."}],"container-title":["Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2079-8954\/11\/9\/475\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T20:52:09Z","timestamp":1760129529000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2079-8954\/11\/9\/475"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,16]]},"references-count":42,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2023,9]]}},"alternative-id":["systems11090475"],"URL":"https:\/\/doi.org\/10.3390\/systems11090475","relation":{},"ISSN":["2079-8954"],"issn-type":[{"value":"2079-8954","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,16]]}}}