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Emergency Autonomous to Manual Takeover in a Driving Simulator: Teen vs. Adult Drivers – A Pilot Study
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 03, 2018 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
Autonomous and/or automated vehicles offer a host of future opportunities but leave many questions unanswered regarding their impact on crash avoidance or the ability of drivers to effectively scan and re-engage from self-driving mode when necessary to avoid crash scenarios. Considering a 16-year-old is several times more likely to die in an automobile crash than other licensed drivers, it was crucial to test both teenage drivers and adults to determine head-on collision avoidance abilities when subjected to a failing autopilot in a simulated autonomous vehicle. In this study, eight teenagers ages 16-19 and four experienced adults underwent four simulated drives (one manual practice drive and three simulated autonomous drives) using a hi-fidelity, Real Time Technologies SimDriver Simulator to represent being in a self-driving vehicle. When exposed to a head-on crash event where the opposing vehicle crosses the dividing line and drives towards the subject, most subjects successfully swerved to avoid the car albeit with several oscillations before stabilization.
CitationBelwadi, A., Loeb, H., Shen, M., Shaikh, S. et al., "Emergency Autonomous to Manual Takeover in a Driving Simulator: Teen vs. Adult Drivers – A Pilot Study," SAE Technical Paper 2018-01-0499, 2018, https://doi.org/10.4271/2018-01-0499.
Data Sets - Support Documents
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- Merat, N.,Jamson, A.H.,Lai, F.C.,Daly, M. et al., “Transition to Manual: Driver Behaviour When Resuming Control from a Highly Automated Vehicle,” Transportation Research Part F: Traffic Psychology and Behaviour 27:274-282, 2014.
- Barakat, A.,Pradhan, D., andAnuj, K., “Studying Driver Behavior in Self Driving Cars Using a Driving Simulator”. University of Michigan Undergraduate Research Journal. 2015. Retrieved from https://deepblue.lib.umich.edu/handle/2027.42/116120
- Mok, B.,Johns, M.,Lee, K.J.,Miller, D., et al.Emergency, Automation Off: Unstructured Transition Timing for Distracted Drivers of Automated Vehicles. In 2015 IEEE 18th International Conference on Intelligent Transportation Systems (IEEE, 2015), September, pp. 2458-2464.
- National Center for Statistics and Analysis. Early Estimate of Motor Vehicle Traffic Fatalities in 2015 (Crash Stats Brief Statistical Summary. Report No. DOT HS 812 269). (Washington, DC, National Highway Traffic Safety Administration, 2016, July).
- Loeb, H.S.,Kandadai, V.,McDonald, C.C., andWinston, F.K., “Emergency Braking in Adults Versus Novice Teen Drivers: Response to Simulated Sudden Driving Events,” Transportation Research Record: Journal of the Transportation Research Board 2016:8-14, 2015.
- Caplow-Munro, D.S.,Loeb, H.,Kandadai, V., andWinston, F., “Open Source Computer Vision Solution for Head and Gaze Tracking in a Driving Simulator Environment,” SAE Int J Passenger Cars Mech Syst 2015-01-1386 8:573-583, 2015, doi:10.4271/2015-01-1386.
- National Highway Traffic Safety Administration (NHTSA) Traffic Safety Facts2008: Young Drivers. Data from the U.S Department of Transportation.
- Lerner, N.D., “Brake Perception-Reaction Times of Older and Younger Drivers.” Proceedings of the Human Factors and Ergonomics Society Annual Meeting. Vol. 37. No. 2 (SAGE Publications, 1993).
- Boer, E.R., et al., “Experiencing the Same Road Twice: A Driver-Centred Comparison Between Simulation and Reality.” Proceedings of the Driving Simulation Conference, 2000.
- Mayhew, D.R.,Simpson, H.M.,Wood, K.M.,Lonero, L. et al., “On-Road and Simulated Driving: Concurrent and Discriminant Validation,” Journal of Safety Research 42(4):267-275, 2011.
- McDonald, C.C.,Tanenbaum, J.B.,Lee, Y.-C.,Fisher, D.L., et al., “Using Crash Data to Develop Simulator Scenarios for Assessing Young Novice Driver Performance.” In Transportation Research Board 91st Annual Meeting, no. 12-1636, 2012.
- National Highway Traffic Safety Administration., “National Motor Vehicle Crash Causation Survey: Report to Congress.” Washington, DC, 2008.
- Loeb, H.S. et al., “Simulated Driving Assessment: Case Study for the Development of Drivelab, Extendable Matlab™ Toolbox for Data Reduction of Clinical Driving Simulator Data,” SAE Technical Paper No. 2014-01-0452, 2014, doi:10.4271/2014-01-0452.
- Allen, B.L. andLoutit, C.B., “Investigation of Post Encroachment Time as a Traffic Conflicts Technique.”Department of Civil Engineering, McMaster University, Hamilton, Ontario, 1979.
- Fisher, D.L.,Pollatsek, A.P., andPradhan, A., “Can Novice Drivers Be Trained to Scan for Information that Will Reduce Their Likelihood of a Crash?” Injury Prevention 12(suppl 1):i25-i29, 2006.
- Imtiaz, A.S.,Mueller, J., andStanley, L., “Driving Behavior Differences Among Early Licensed Teen, Novice Teen, and Experienced Drivers in Simulator and Real World Potential Hazards.”
- Cheng, B. et al., “Analysis of Driver Brake Operation in Near-Crash Situation Using Naturalistic Driving Data,” International Journal of Automotive Engineering 2(4):87-94, 2011.
- Christie, R., “The Effectiveness of Driver Training as a Road Safety Measure: An International Review of the Literature.” Road Safety Research, Policing and Education Conference, 2001. Melbourne, Victoria, Australia, 2001.
- Gregersen, N.P., “Young Drivers’ Overestimation of Their Own Skill-An Experiment on the Relation Between Training Strategy and Skill,” Accident Analysis & Prevention 28(2):243-250, 1996.
- Wright, T. J.,Samuel, S.,Borowsky, A.,Zilberstein, S., et al., “Are Experienced Drivers Quicker to Regain Full Situation Awareness in Scenarios Involving Transfer of Control from the Automation to the Driver?. In 17th International Conference Road Safety On Five Continents (RS5C 2016), Rio de Janeiro, Brazil, 17-19 May 2016, Statens väg-och transportforskningsinstitut, 2016.