Abstract
This study investigated the effect of age and driving experience on driving performance with automated vehicles. Participants performed a detection task while driving an automated vehicle in a simulator. Reaction time and accuracy were recorded as the driving performance. Results showed a moderate positive correlation between age and reaction time, between driving experience and reaction time. However, no significant difference in driving performance was found between different age groups and different driving experience groups. The results should provide insights to future studies about the effect of human factors in automated vehicles.
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References
Derrig, R.A., Sequi-Gomez, M., Abtahi, A., Liu, L.: The effect of population safety belt usage rates on motor vehicle-related fatalities. Accid. Anal. Prev. 34(1), 101–110 (2002)
Hijar, M., Carrillo, C., Flores, M., Anaya, R., Lopez, V.: Risk factors in highway traffic accidents: a case control study. Accid. Anal. Prev. 32(5), 703–709 (2000)
Norris, F.H., Matthews, B.A., Riad, J.K.: Characterological, situational, and behavioral risk factors for motor vehicle accidents: a prospective examination. Accid. Anal. Prev. 32(4), 505–515 (2000)
Zhang, J., Lindsay, J., Clarke, K., Robbins, G., Mao, Y.: Factors affecting the severity of motor vehicle traffic crashes involving elderly drivers in Ontario. Accid. Anal. Prev. 32(1), 117–125 (2000)
Hartwich, F., Beggiato, M., Krems, J.: Driving comfort, enjoyment and acceptance of automated driving – effects of drivers’ age and driving style familiarity. Ergonomics 61(8), 1017–1032 (2018)
Zhang, Q., Yang, X., Robert, L.: Drivers’ age and automated vehicle explanations. Sustainability 13(4), 1948 (2021)
Sportillo, D., Paljic, A., Ojeda, L.: On-road evaluation of autonomous driving training. In: 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp.182--190. IEEE Press, Daegu, Korea (South) (2019)
Wu, Y., et al.: Age-related differences in effects of non-driving related tasks on takeover performance in automated driving. J. Safety Res. 72, 231–238 (2020)
Li, S., Blythe, P., Guo, W., Namdeo, A.: Investigating the effects of age and disengagement in driving on driver’s takeover control performance in highly automated vehicles. Transp. Plann. Technol. 42(5), 470–497 (2019)
Körber, M., Gold, C., Lechner, D., Bengler, K.: The influence of age on the take-over of vehicle control in highly automated driving. Transp. Res. Part F Traffic Psychol. Behav. 39, 19–32 (2016)
Acknowledgments
This research was supported by the Center for Advances in Port Management (CAPM) at Lamar University. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the CAPM.
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Li, T., Zhao, R., Liu, Y., Li, Y., Li, G. (2021). Evaluate the Effect of Age and Driving Experience on Driving Performance with Automated Vehicles. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2021. Lecture Notes in Networks and Systems, vol 270. Springer, Cham. https://doi.org/10.1007/978-3-030-80012-3_19
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DOI: https://doi.org/10.1007/978-3-030-80012-3_19
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