An approach to organizing the transition of vehicle control from an automated driving system to a person
https://doi.org/10.35596/1729-7648-2020-18-7-40-46
Abstract
The analysis of trends in the development of the automotive industry and well-known methods of automating vehicle control served the basis for us to propose an approach to organizing the transfer of vehicle control from an automated driving system to a person. The approach involves monitoring the vehicle performance and the systems that provide automated driving, the state of the environment and the driver's psychophysiological state, as well as road conditions on the upcoming path, predicting the place and time of transition of control to the driver, determining and regulating his/her readiness to take control if necessary. This approach is peculiar for in time of automated driving, the minimum level of the driver's readiness to operate the vehicle is constantly maintained, which is brought to optimal within a certain time before the scheduled transition to manual control. This two-level monitoring of the condition of drivers of highly automated vehicles will improve road safety both in cases of predicted and unexpected need for an emergency transition from automated to manual driving. The aim of the work is to develop a methodology for improving road safety with highly automated vehicles involved.
About the Authors
V. A. Dubovsky
The Joint Institute of Mechanical Engineering of the National Academy of Sciences of Belarus
Russian Federation
Russian Federation
Dubovsky Vladimir Andreevich, PhD, Senior Researcher
220072, Minsk, P. Akademicheskaya str., 12
V. V. Savchenko
The Joint Institute of Mechanical Engineering of the National Academy of Sciences of Belarus
Russian Federation
Russian Federation
PhD, Associate Professor, Chief of R&D Center “Onboard control systems of mobile machines”
Minsk
References
1. Papadimitratos P., Fortelle A., Evenssen K., Brignolo R., Cosenza S. Vehicular Communication Systems: Enabling Technologies, Applications, and Future Outlook on Intelligent Transportation. IEEE Communications Magazine. 2009;47(11):84-95.
2. Burnett G.E. On-the-Move and in Your Car: An Overview of HCI Issues for In-Car Computing. International Journal of Mobile Human Computer Interaction. 2009;1(1):60-78.
3. Tanelli M., Toledo-Moreo R., Stanley L.M. Guest Editorial: Multifaceted Driver–Vehicle Systems: Toward More Effective Driving Simulations, Reliable Driver Modeling, and Increased Trust and Safety. IEEE Transactions on human-machine systems. 2018;48(1):1-5. DOI: 0.1109/THMS.2017.2784018.
4. Hancock P.A., Nourbakhsh I., Stewart J. On the future of transportation in an era of automated and autonomous vehicles. Proc Natl Acad Sci USA. 2019;116(16):7684-7691.
5. Collet C. and Musicant O. Associating Vehicles Automation with Drivers Functional State Assessment Systems: A Challenge for Road Safety in the Future. Frontiers in Human Neuroscience. 2019;13:131. DOI: 10.3389/fnhum.2019.00131.
6. Russell H.E.B., Harbott L.K., Nisky I., Pan S., Okamura A.M., Gerdes J.C. Motor learning affects car-to-driver handover in automated vehicles. Science Robotics. 2016;1(1):1-9.
7. Lu Z., Happee R., Cabrall C.D.D., Kyriakidis M., Winter J.C.F. Human Factors of Transitions in Automated Driving: A General Framework and Literature Survey. Transportation Research Part F: Traffic Psychology and Behaviour. 2016;43(11):183-198.
8. Merat N., Jamson A.H., Lai F.C.H., Daly M., Carsten O.M.J. Transition to manual: Driver behaviour when resuming control from a highly automated vehicle. Transportation Research Part F. 2014;27:274-282.
9. Dubovsky V.A., Savchenko V.V. [A conceptual model of the “driver-car-road-environment” system]. Doklady of the National Academy of Sciences of Belarus. 2019;63(1):112-120. (in Russ.)
10. Saito T., Wada T., Sonoda K. Control Authority Transfer Method for Automated-to-Manual Driving Via a Shared Authority Mode. IEEE Transactions on Intelligent Vehicles. 2018;3(2):198-207. DOI: 10.1109/TIV.2018.2804167.
11. Gold C., Damböck D., Lorenz L., Bengler K. Take over! How long does it take to get the driver back into the loop? Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 2013;57(1):1938-1942. DOI: 10.1177/1541931213571433.
12. Gold C., Körber M., Lechner D., Bengler K. Taking Over Control from Highly Automated Vehicles in Complex Traffic Situations: The Role of Traffic Density. Human Factors. 2016;58(4):642-652. DOI: 10.1177/0018720816634226. 13. Savchenko V.V., Poddubko S.N. Development approach to a method for monitoring of driver’s ability of resumption of control over the vehicle by on-board systems in automatic mode. IOP Conf. Series: Materials Science and Engineering. 2018;121(2):181-187.
13. Savchenko V.V. [The problem of transferring control to the driver in highly automated cars: a method for monitoring the perception of semantically binary relevant information by the driver]. Mechanics of Machines, Mechanisms and Materials. 2019;47(2):14-19. (in Russ.)
14. Dementienko V.V., Ivanov I.I., Makaev D.V. [Comprehensive system of monitoring the state of the driver on the trip]. Vestnik NTsBZhD. 2016;29(3):17-21. (in Russ.)
15. Zhankaziev S.V., Vorobiev A.I., Zabudsky A.Y. [Determination of the minimum control transmission time when driving in a highly automated vehicle]. Transport of Russia. 2019;4(83):33-36. (in Russ.)
Review
For citations:
Dubovsky V.A., Savchenko V.V. An approach to organizing the transition of vehicle control from an automated driving system to a person. Doklady BGUIR. 2020;18(7):40-46. (In Russ.) https://doi.org/10.35596/1729-7648-2020-18-7-40-46
Views: 584
Email this article 