197
Views
1
CrossRef citations to date
0
Altmetric
Research Articles

How does older and younger drivers’ risk cognition affect the safety performance: A driving simulator study of sudden lane-changing of the leading vehicle

, , , &

References

  • Aksan, N., Anderson, S. W., Dawson, J., Uc, E., & Rizzo, M. (2015). Cognitive functioning differentially predicts different dimensions of older drivers’ on-road safety. Accident; Analysis and Prevention, 75, 236–244. doi:10.1016/j.aap.2014.12.007
  • Anstey, K., Wood, J., Lord, S., & Walker, J. (2005). Cognitive, sensory and physical factors enabling driving safety in older adults. Clinical Psychology Review, 25(1), 45–65. doi:10.1016/j.cpr.2004.07.008
  • Ayuso, M., Sánchez, R., & Santolino, M. (2020). Does longevity impact the severity of traffic crashes? A comparative study of young-older and old-older drivers. Journal of Safety Research, 73, 37–46. doi:10.1016/j.jsr.2020.02.002
  • Ball, K. K., Roenker, D. L., Wadley, V. G., Edwards, J. D., Roth, D. L., McGwin, G., Raleigh, R., Joyce, J. J., Cissell, G. M., & Dube, T. (2006). Can high-risk older drivers be identified through performance-based measures in a department of motor vehicles setting? Journal of the American Geriatrics Society, 54(1), 77–84. doi:10.1111/j.1532-5415.2005.00568.x
  • Barjonet, P. (2001). Traffic psychology today. Springer.
  • Chen, B., Zhao, X., Ding, Z., Li, Y., Wan, M., He, Q., & Liu, X. (2022). Why do older drivers self-regulate: Psychological factors influencing self-regulation in a Chinese sample. Journal of Safety Research, 80, 330–340. doi:10.1016/j.jsr.2021.12.008
  • Chen, L. (2022). Research on intelligent decision-making method of autonomous vehicle under emergency conditions. Chongqing Jiaotong University.
  • Cuenen, A., Jongen, E. M. M., Brijs, T., Brijs, K., Van Vlierden, K., & Wets, G. (2019). The effect of a simulator based training on specific measures of driving ability in older drivers. Transportation Research Part F: Traffic Psychology and Behaviour, 64, 38–46. doi:10.1016/j.trf.2019.04.014
  • Fuermaier, A. B. M., Piersma, D., Huntjens, R. J. C., de Waard, D., Westermann, C., Bossert, M., Lange, K. W., Weisbrod, M., Bruggeman, R., Aschenbrenner, S., & Tucha, O. (2019). Simulated car driving and its association with cognitive abilities in patients with schizophrenia. Schizophrenia Research, 204, 171–177. doi:10.1016/j.schres.2018.09.005
  • Gao, Y., Su, H., & Jin, W. (2014). Design and implement of virtual traffic environments for driving safety education. Xitong Fangzhen Xuebao/Journal of System Simulation, 26 10, 2481–2485.
  • Giannoudis, V., Guy, S., Romano, R., Carsten, O., Pandit, H., & van Duren, B. (2021). Doctor when can I drive? Braking response after knee arthroplasty: A systematic review & meta-analysis of brake reaction time. The Knee, 30, 214–240. doi:10.1016/j.knee.2021.03.013
  • Gong, J., Liu, X., Ji, C., & Zhao, X. (2022). Current situation and countermeasures of traffic safety for elderly drivers in China. Beijing: Hualing Publishing House.
  • Gong, J., Liu, X., Qi, C., Wang, Q., & Ma, J. (2023). Traffic safety risk characteristics and crash prevention countermeasures of the elderly drivers. China Transportation Review, 45(01), 34–38.
  • Guo, F. (2019). A study on the behavioral characteristics of older drivers basedon risk perception. University of Science and Technology.
  • Guo, F., Xiong, C., Wan, H., Ni, D., & Zhou, Y. (2021). Behaviral Characteristics of Older Drivers Based on Risk Perception. China Journal Highway Transportation, 34(09), 309–321.
  • Han, H., Kim, S., Choi, J., Park, H., Yang, J. H., & Kim, J. (2021). Driver’s avoidance characteristics to hazardous situations: A driving simulator study. Transportation Research Part F: Traffic Psychology and Behaviour, 81July, 522–539. doi:10.1016/j.trf.2021.07.004
  • Jian, M. (2017). Analyzing the dependence of the future elderly on private cars and the effects on traffic flow. Tsinghua University.
  • JingJing, Z. (2018). The research on vehicle control behavior characteristics and differences between middle aged and older drivers. Hefei University of Technology.
  • Ledger, S., Bennett, J. M., Chekaluk, E., & Batchelor, J. (2019). Cognitive function and driving: Important for young and old alike. Transportation Research Part F: Traffic Psychology and Behaviour, 60, 262–273. doi:10.1016/j.trf.2018.10.024
  • Lee, J., & Gim, T.-H. T. (2022). Analysing the injury severity characteristics of urban elderly drivers’ traffic accidents through the generalised ordered logit model: A case of Seoul, South Korea. Journal of Transportation Safety & Security, 14(7), 1139–1164. doi:10.1080/19439962.2021.1898068
  • Lei, X. (2016). Influencing analysis of driver’s age on driving safety. Transportation Energy Conservation Environment, 12(06), 15–17.
  • Li, P., Hu, M., Zhang, W., & Li, Y. (2018). Influence of distraction on driver’s reaction time to traffic conflicts. China Journal Highway Transportation, 31(04), 36–42.
  • Li, X., Yan, X., Wu, J., Radwan, E., & Zhang, Y. (2016). A rear-end collision risk assessment model based on drivers’ collision avoidance process under influences of cell phone use and gender—A driving simulator based study. Accident; Analysis and Prevention, 97, 1–18. doi:10.1016/j.aap.2016.08.021
  • Liang, J., Wang, S., Chen, L., & Chen, F. (2022). Cooperative collision avoidance control model for emergency lane changing behavior. Journal of Huazhong University of Science and Technology Science Edition, 50(01), 13–19.
  • Mathias, J. L., & Lucas, L. K. (2009). Cognitive predictors of unsafe driving in older drivers: A meta-analysis. International Psychogeriatrics, 21(4), 637–653. doi:10.1017/S1041610209009119
  • Milleville-Pennel, I., & Marquez, S. (2020). Comparison between elderly and young drivers’ performances on a driving simulator and self-assessment of their driving attitudes and mastery. Accident; Analysis and Prevention, 135, 105317. doi:10.1016/j.aap.2019.105317
  • Ni, D., Guo, F., & Zhou, Y. (2022). A graph study on turning behaviors of older drivers at unsignalized intersections. Journal of Information Safety, 40(03), 108–117.
  • Scialfa, C. T., Guzy, L. T., Leibowitz, H. W., Garvey, P. M., & Tyrrell, R. A. (1991). Age differences in estimating vehicle velocity. Psychology and Aging, 6(1), 60–66. doi:10.1037//0882-7974.6.1.60
  • Shah, D., & Lee, C. (2021). Analysis of effects of driver’s evasive action time on rear-end collision risk using a driving simulator. Journal of Safety Research, 78, 242–250. doi:10.1016/j.jsr.2021.06.001
  • Wang, S. (2022). Research on lateral and longitudinal cooperative control of intelligent vehicle for emergency lane-changing behavior. Jiangsu University.
  • Wei, T., Zhang, J., Li, C., Liu, H., & Zhu, T. (2021). Study on reaction time of visual recognizing traffic guide signs considering characteristics of drivers. Journal Highway Transportation Research, 38(12), 139–146.
  • Wen, H., Qu, J., & Song, W. (2021). Analysis of factors influencing the severity of traffic accidents by elderly drivers. Journal Hefei University of Technology Science, 44(06), 812–817 + 850.
  • Wu, F. (2018). Research on drivers’ perception-judgement-response characteristics based on information processing mechanism. Chang’an University.
  • Wu, Y. (2017). Research on Eco-driving behavior characteristics identification and feedback optimization method. Beijing University of Technology.
  • Xiao, X., Yin, Y., & Wang, J. (2016). Driving behavior operation pattern modeling method based on individual characteristics. China Mechanical Engineering, 27 19, 2681–2686 + 2692.
  • Xu, Y. (2014). An analysis of emergent events under urban roads circumstances and establishment of information base. Chang’an University.
  • Yang, H., Yan, Y., & Hu, Y. (2018). Study on prototype design of elderly-oriented scooters based on driving operation behavioral analysis. J. Mach. Des, 35(06), 105–112.
  • Yu, D. (2011). The reaearch on driving behavior model and driver reliability analyses. Changsha University of Science & Technology.
  • Zahran, E.-S., Tan, S. J., Tan, E. H. A., Mohamad Asri Putra, N. A., Atiqah, B., Yap, Y. H., & Abdul Rahman, E. K. (2021). Spatial analysis of road traffic accident hotspots: Evaluation and validation of recent approaches using road safety audit. Journal of Transportation Safety & Security, 13(6), 575–604. doi:10.1080/19439962.2019.1658673
  • Zhao, X., Zhang, C., Ju, Y., Li, J., Bian, Y., & Ma, J. (2021). Evaluation of tunnel retro-reflective arch in an extra-long tunnel based on the matter-element extension method. Accident; Analysis and Prevention, 150, 105913. doi:10.1016/j.aap.2020.105913
  • Zhao, X., Ju, Y., Zhang, C., Li, J., Ma, J., & Guo, J. (2022). Influence of the tunnel retro-reflective arch in freeway tunnels on driving behavior: A driving simulator study. Journal of Transportation Safety & Security, 14(6), 929–948. doi:10.1080/19439962.2020.1853642
  • Zheng, H. (2019). Research on the influence of the transition mode of yellow light signal on driving behavior decision-making. Kunming University of Science and Technology.
  • Zhou, H., Cai, M., Lu, J., & Deng, Z. (2016). Analysis of influence factors of dangerous driving behaviors of female drivers based on DBQ. Logist. Technol, 35(011), 115–120.
  • Zicat, E., Bennett, J. M., Chekaluk, E., & Batchelor, J. (2018). Cognitive function and young drivers: The relationship between driving, attitudes, personality and cognition. Transportation Research Part F: Traffic Psychology and Behaviour, 55, 341–352. doi:10.1016/j.trf.2018.03.013

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.