Hunan Key Laboratory of Smart Roadway and Cooperative Vehicle-Infrastructure Systems, Changsha University of Science and Technology, Changsha, Hunan, China.
State Grid Hunan Electric Power company Limited Economic & Technical Research Institute, Changsha, Hunan, China.
PLoS One. 2024 Feb 16;19(2):e0297763. doi: 10.1371/journal.pone.0297763. eCollection 2024.
Coping capacity is a key aspect of driver-vehicle interaction when drivers observe and make decisions, and is of great importance for drivers. However, different drivers have different self-cognition and assess their driving abilities differently, especially for novice drivers. Based on questionnaire data, this study has investigated the coping capacities of drivers in both static environments and dynamic environments. With the ANOVA analysis method and the structural equation model (SEM), this study has verified the effects of gender and driving factors (driving years, driving frequency, driving time) on drivers' coping capacities based on drivers' self-assessment scores and mutual assessment scores. Drivers' self-assessment scores show significant effects of all factors on drivers' coping capacities, and drivers' mutual assessment scores show significant effects of all factors, excluding driving time, on drivers' coping capacities. Also, it has been found that all drivers in the driving year group have cognitive biases. It seems that first-year drivers are always overconfident with their driving skills, while drivers with a driving experience of more than three years usually score driving skills of themselves and other drivers most conservatively. With increased exposure to various traffic conditions, experienced drivers are more aware of their limitations in dealing with complex traffic situations, while novice drivers do not know their lack of capability to properly respond to any unexpected situation they could encounter.
应对能力是驾驶员观察和做出决策时的驾驶员-车辆交互的一个关键方面,对驾驶员来说非常重要。然而,不同的驾驶员有不同的自我认知,并且对自己的驾驶能力有不同的评估,特别是对于新手驾驶员。基于问卷调查数据,本研究调查了驾驶员在静态环境和动态环境中的应对能力。通过方差分析方法和结构方程模型(SEM),本研究基于驾驶员的自我评估分数和相互评估分数,验证了性别和驾驶因素(驾龄、驾驶频率、驾驶时间)对驾驶员应对能力的影响。驾驶员的自我评估分数显示所有因素对驾驶员应对能力都有显著影响,而驾驶员的相互评估分数显示所有因素(除驾驶时间外)对驾驶员应对能力都有显著影响。此外,研究还发现,驾龄组的所有驾驶员都存在认知偏差。似乎第一年的驾驶员总是对自己的驾驶技术过于自信,而驾龄超过三年的驾驶员通常对自己和其他驾驶员的驾驶技术评估最为保守。随着对各种交通状况的接触增加,经验丰富的驾驶员更加意识到自己在处理复杂交通情况方面的局限性,而新手驾驶员则不知道自己在遇到任何意外情况时无法正确应对的能力不足。