An Approach to Transfer of Control Between Automated Vehicle and Driver
https://doi.org/10.35596/1729-7648-2026-24-3-85-91
Abstract
In vehicles with level 3 automation, the driver can transfer control of the vehicle to the automated driving system without monitoring its operation. However, in critical situations or if the automated vehicle exits the normal operating domain, the driver must take control. In these cases, the driver may be unable to safely operate the vehicle due to insufficient awareness of the road situation and unpreparedness for the driving task. This problem is currently being addressed by monitoring the driver’s condition and prompting them to take manual control using a multimodal interface. However, due to its complex, interdisciplinary nature, this problem has not yet been fully resolved. The aim of this study was to propose a new approach to mitigating safety risks during the transition from automated to manual driving. Based on an analysis of existing methods for solving this problem, a new approach is considered that takes into account the individual psychophysiological characteristics of the driver before transferring control of the vehicle. This approach provides greater flexibility, validity, and reliability of decision making in critical driving situations when switching between driving modes.
About the Authors
V. Dubovsky
The Joint Institute of Mechanical Engineering of the National Academy of Sciences of Belarus
Belarus
Belarus
Dubovsky Vladimir, Cand. Sci. (Tech.), Leading Researcher
220072, Minsk, Akademicheskaya St., 12
Tel.: +375 17 370-07-49
V. Savchenko
The Joint Institute of Mechanical Engineering of the National Academy of Sciences of Belarus
Belarus
Belarus
Savchenko V., Cand. Sci. (Tech.), Associate Professor, Head of the Research Center “On-Board Control Systems for Mobile Vehicles”
Minsk
References
1. Tanelli M., Toledo-Moreo R., Stanley L. M. (2018) Multifaceted Driver–Vehicle Systems: Toward More Effective Driving Simulations, Reliable Driver Modeling, and Increased Trust and Safety. IEEE Transactions on Human-Machine Systems. 48 (1), 1–5. https://doi:0.1109/thms.2017.2784018.
2. J3016_201401. Taxonomy and Definitions for Terms Related to On-Road Motor Vehicle Automated Driving Systems. Washington, DC, SAE International.
3. Morales-Alvarez W., Sipele O., Léberon R., Tadjine H. H., Olaverri-Monreal C. (2020) Automated Driving: A Literature Review of the Take Over Request in Conditional Automation. Electronics. 9 (12). https://dx.doi.org/10.3390/electronics9122087.
4. Saito T., Wada T., Sonoda K. (2018) Control Authority Transfer Method for Automated-to-Manual Driving via a Shared Authority Mode. IEEE Transactions on Intelligent Vehicles. 3 (2), 198–207.
5. 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. 58 (4), 642–652.
6. Framework Document on Automated/Autonomous Vehicles. World Forum for Harmonization of Vehicle Regulations. 180th Session, Geneva. 2020, 10–12 March. https://undocs.org/ECE/TRANS/WP.29/2019/34/Rev.2.
7. Proposal for a New UN Regulation on Uniform Provisions Concerning the Approval of Vehicles with Regards to Automated Lane Keeping Systems. Informal Document GRVA-06-02-Rev.3 6th GRVA, 3–4 March 2020. Available: https://unece.org/fileadmin/DAM/trans/doc/2020/wp29grva/GRVA-06-02r4e.pdf (Accessed 2 February 2023).
8. Halin A., Verly J. G., Droogenbroeck M. V. (2021) Survey and Synthesis of State of the Art in Driver Monitoring. Sensors. 21 (16). https://doi.org/10.3390/s21165558.
9. Eriksson A., Stanton N. A. (2017) Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and from Manual Control. Human Factors. 59 (4), 689–705. https://doi:10.1177/0018720816685832.
10. Zhang B., de Winter J., Varotto S., Happee R., Martens M. (2019) Determinants of Take-Over Time from Automated Driving: A Meta-Analysis of 129 Studies. Transportation Research Part F: Traffic Psychology and Behaviour. 64, 285–307. https://doi.org/10.1016/j.trf.2019.04.020.
11. Chen C., Lin Z., Zhang S., Chen F., Chen P., Zhang L. (2021) The Compatibility Between the Takeover Process in Conditional Automated Driving and the Current Geometric Design of the Deceleration Lane in Highway. Sustainability. 13 (23). https://doi.org/10.3390/su132313403.
12. Zhang S., Pang R., Zhao J. (2019) Reliability of Human-Machine Evaluation Method for Cabs. International Journal of Performability Engineering. 15 (5), 1389–1399. https://doi:10.23940/ijpe.19.05.p15.13891399.
Review
For citations:
Dubovsky V., Savchenko V. An Approach to Transfer of Control Between Automated Vehicle and Driver. Doklady BGUIR. 2026;24(3):85-91. https://doi.org/10.35596/1729-7648-2026-24-3-85-91
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