Transition to manual: Driver behaviour when resuming control from a highly automated vehicle

Transportation Research Part F: Traffic Psychology and Behaviour

Volumn 27, Issue PB, 2014, Pages 274-282

  Merat, Natasha ^a   Jamson, A Hamish ^a   Lai, Frank C H ^a   Daly, Michael ^a   Carsten, Oliver M J ^a  

^a UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

Driver behaviour; Eye tracking; Highly automated driving; Level 3 automation; Transition time

Indexed keywords

AUTOMATION; BEHAVIORAL RESEARCH; EYE MOVEMENTS; EYE TRACKING; MANUAL CONTROL; ROADS AND STREETS; STEERING;

AUTOMATED DRIVING; DRIVER BEHAVIOUR; DRIVING SIMULATOR STUDY; HIGH FREQUENCY COMPONENTS; STEERING CORRECTION; SURROUNDING ENVIRONMENT; TRANSITION TIME; VARIABLE INTERVALS;

AUTOMOBILE STEERING EQUIPMENT;

EID: 84915754253     PISSN: 13698478     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trf.2014.09.005     Document Type: Article

References (31)

1. Ahlström, C., & Kircher, K. (2010). Review of real-time visual driver distraction detection algorithms. In A.J. Spink, F. Grieco, O.E. Krips, L.W.S. Loijens, L.P.J.J. Noldus, & P.H. Zimmerman, Proceedings of Measuring Behaviour 2010 (Eindhoven, The Netherlands, August 24-27, 2010), (pp. 310-313).
2. BBC news (2013). Driverless cars to be tested on UK roads by end of 2013. 〈http://www.bbc.co.uk/news/technology-23330681〉.
3. Carsten, O., Lai, F. C. H., Barnard, Y., Jamson, A. H., & Merat, N. (2012). Control task substitution in semi-automated driving: Does it matter what aspects are automated? Human Factors, 54, 747-761.
4. Daily Mail (2013). It really is hands free! Self-driving Mercedes-Benz is unveiled - And it should be available within seven years. 〈http://www.dailymail.co.uk/sciencetech/article-2418526/Self-driving-Mercedes-Benz-sale-2020-unveiled.html〉.
5. Donmez, B., Boyle, L., & Lee, J. D. (2007). Safety implications of providing real-time feedback to distracted drivers. Accident Analysis & Prevention, 39, 581-590 (Among Top 25 Hottest Articles in Accident Analysis and Prevention, Jul-Sep 2007).
6. Donmez, B., Boyle, L., & Lee, J. D. (2008). Mitigating driver distraction with retrospective and concurrent feedback. Accident Analysis and Prevention, 40, 776-786.
7. Donmez, B., Boyle, L. N., & Lee, J. D. (2009). Designing feedback to mitigate distraction. In M. A. Regan, J. D. Lee, & K. L. Young (Eds.), Driver distraction: Theory, effects and mitigation (pp. 519-531). London: CRC Press.
8. Endsley, M., & Kaber, D. (1999). Level of automation effects on performance, situation awareness and workload in a dynamic control task. Ergonomics, 42(3), 462-492.
9. Excell, J. (2013). Autos on autopilot: The evolution of the driverless car. Read more 〈http://www.theengineer.co.uk/in-depth/the-big-story/autos-on-autopilot-the-evolution-of-the-driverless-car/1016859.article#ixzz2hJHF31Q3〉.
10. Happee, R., Amditis, A., Kunert, M., Hoess, A., Flemish, F., Krueger, H. P., et al. (2008). Highly automated vehicles for intelligent transport: HAVEit approach. In Conference Proceedings of the 15th World Congress on ITS, New York City, U.S.A.
11. Hesse, T., Fricke, N., Flemisch, F., Engström, E. Johansson, E., Varalda, G., et al. (2011). Towards user-centred development of integrated information, warning, and intervention strategies for multiple ADAS in the EU project interactive. In Proceedings of the 14th HCI International 2011, Orlando, USA.
12. Ioannou, P., Xu, Z., Eckert, S., Clemons, D., Sieja, T., (1993). Intelligent cruise control: Theory and experiment. In Proceedings of the 32nd IEEE conference on decision and control, San Antonio, Texas, December 1993 (pp. 1885-1890).
13. Jamson, A. H., Merat, N., Carsten, O. M. J., & Lai, F. C. H. (2013). Behavioural changes in drivers experiencing highly-automated vehicle control in varying traffic conditions. Transportation Research Part C: Emerging Technologies, 116-125.
14. Klauer, S. G., Dingus, T. A., Neale, V. L., Sudweeks, J. D., & Ramsey, D. J. (2006). The impact of driver inattention on near-crash/crash risk: An analysis using the 100-Car naturalistic driving study data (Report No. DOT HS 810 594). National Highway Traffic Safety Administration, USDOT.
15. McLean, J. R., & Hoffman, E. R. (1973). The effects of restricted preview on driver steering control and performance. Human Factors, 15(4), 421-430.
16. McLean, J. R., & Hoffmann, E. R. (1971). Analysis of drivers' control movements. Human Factors, 13, 407-418.
17. Merat, N., & Jamson, A. H. (2009). Is drivers' situation awareness influenced by a fully automated driving scenario? In D. de Waard, J. Godthelp, F. L. Kooi, & K. A. Brookhuis (Eds.), Human factors, security and safety (pp. 1-11). Maastricht, the Netherlands: Shaker Publishing.
18. Merat, N., Jamson, H., Lai, F., & Carsten, O. (2012). Highly automated driving, secondary task performance and driver state. Human Factors, 54, 762-771.
19. National motor vehicle crash causation survey (2008). Report prepared by NHTSA. See 〈http://www-nrd.nhtsa.dot.gov/pubs/811059.pdf〉.
20. NHTSA (2013). US Department of Transportation Policy on Automated Vehicle Development, p4. See 〈http://www.nhtsa.gov/About+NHTSA/Press+Releases/U.S.+Department+of+Transportation+Releases+Policy+on+Automated+Vehicle+Development〉.
21. POSTnote (2013). Autonomous Road Vehicles, No. 443. 〈http://www.parliament.uk/business/publications/research/briefing-papers/POST-PN-443〉.
22. Rudin-Brown, C. M., & Parker, H. (2004). Behavioural adaptation to adaptive cruise control (ACC): implications for preventive strategies. Transportation Research Part F: Traffic Psychology and Behaviour, 7, 59-76.
23. Sharp, R. S., Casanova, D., & Symonds, P. (2000). A mathematical model for driver steering control with design, tuning and performance results. Vehicle System Dynamics, 33(5), 289-326.
24. Simonite, T. (2013). Data shows google robot cars are smoother, safer drivers than people. MIT Technology Review, See 〈http://www.mashable.com/2013/10/28/google-robot-cars-data/〉.
25. Toffetti, A., Wilschut, E., Martens, M. H., Schieben, A., Rambaldini, A., Merat, N., et al (2009). CITYMOBIL: Human factors issues regarding highly-automated vehicles on an eLane. Transportation Research Record Journal of the Transportation Research Board, 2110, 1-8.
26. USA today (2013). GM to offer nearly self-driving car by 2020. See 〈http://www.usatoday.com/story/money/cars/2013/08/30/gm-general-motors-self-driving-autonomous-car/2725091/〉.
27. USA today (2014). California pushes to finish driverless car rules. See 〈http://www.usatoday.com/story/tech/2014/03/12/california-driverless-car-legislation/6321491/〉.
28. Victor, T. W. (2005). Keeping eye and mind on the road. Digital comprehensive summaries of uppsala dissertations from the faculty of social sciences 9, Uppsala University: Uppsala.
29. Victor, T. W., Harbluk, J. L., & Engström, J. (2005). Sensitivity of eye-movement measures to in-vehicle task difficulty. Transportation Research Part F: Traffic Psychology and Behaviour, 8(2), 167-190.
30. Wall Street Journal (2013). Nissan plans full line of self-driving cars in the next decade 〈http://www.blogs.wsj.com/speakeasy/2013/10/07/nissan-plans-full-line-of-self-driving-cars-in-the-next-decade/〉.
31. Zhang, H., Smith, M., Dufour, R. (2008). A Final report of safety vehicles using adaptive interface technology (Phase II: Task 7C): Visual Distraction (2008).