探索驾驶员昏昏欲睡对自动驾驶期间接管性能的影响:最新的文献综述
Hengyan Pan1, David B Logan2, Amanda N Stephens2
1Monash University Accident Research Centre, Monash University, Melbourne 3800, Australia; College of Transportation Engineering, Chang'an University, Xi'an 710018, China.
Accident; analysis and prevention
|April 2, 2025
概括
随着自动驾驶的持续时间和水平,驾驶员的昏昏欲睡程度会增加,从而影响接管性能. 年轻的司机更容易感到昏昏欲睡,而年长的司机表现出较差的接管技能,影响道路安全.
科学领域:
- 人与计算机的互动.
- 交通运输安全运输安全
- 汽车工程 汽车工程
背景情况:
- 车辆自动化有可能减少与人为错误有关的事故,包括因驾驶员昏昏欲睡而导致的事故.
- 在全面部署自动化之前,有效地从自动化系统中接管驾驶员至关重要.
- 自动化可能会加剧司机的昏昏欲睡,给安全过渡带来挑战.
研究的目的:
- 更新2022年对影响驾驶昏昏欲睡和接管性能的因素的系统审查.
- 专注于在2022年审查中以前未发现的因素.
- 综合当前关于驾驶员昏昏欲睡和自动驾驶汽车的研究.
主要方法:
- 按照PRISMA指南进行系统审查,搜索科学网,PubMed和Scopus (2021年3月 - 2024年10月).
- 纳入标准: 2+级自动化交互,驾驶员昏昏欲睡指标,接管性能指标,受控实验设计.
- 包括12篇新文章和17篇以前的评论,共29篇文章.
主要成果:
- 随着自动驾驶的持续时间和自动化水平,昏昏欲睡的程度增加;非驾驶相关任务 (NDRT) 减少了昏昏欲睡,但影响了接管.
- 年轻的司机更容易昏昏欲睡,年长的司机更糟糕的接管性能.
- 睡眠惯性,昼夜节律,道路监控,数字助手和计划手动驾驶影响警觉性和接管.
结论:
- 自动驾驶的驾驶时间,NDRT,驾驶员年龄,睡眠问题和自动化水平显著影响了昏昏欲睡和接管性能.
- 未来的研究应该调查潜在的因素,预防,减轻和安全协助昏昏欲睡的司机.
- 解决驾驶员昏昏欲睡的问题对于自动驾驶汽车中安全的人机交互至关重要.
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