• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一旦成为司机,就永远是司机——手动驾驶风格在自动驾驶接管中仍然存在。

Once a driver, always a driver - Manual driving style persists in automated driving takeover.

机构信息

Department of Cognitive Robotics, Delft University of Technology, the Netherlands.

Department of Cognitive Robotics, Delft University of Technology, the Netherlands.

出版信息

Appl Ergon. 2024 Nov;121:104366. doi: 10.1016/j.apergo.2024.104366. Epub 2024 Aug 22.

DOI:10.1016/j.apergo.2024.104366
PMID:39178553
Abstract

As automated vehicles require human drivers to resume control in critical situations, predicting driver takeover behaviour could be beneficial for safe transitions of control. While previous research has explored predicting takeover behaviour in relation to driver state and traits, little work has examined the predictive value of manual driving style. We hypothesised that drivers' behaviour during manual driving is predictive of their takeover behaviour when resuming control from an automated vehicle. We assessed 38 drivers with varying experience in a high-fidelity driving simulator. After completing manual driving sessions to assess their driving style, participants performed an automated driving task, typically on a subsequent date. Measures of driving style from manual driving sessions, including headway and lane change speed, were found to be predictive of takeover behaviour. The level of driving experience was associated with the behavioural measures, but correlations between measures of manual driving style and takeover behaviour remained after controlling for driver experience. Our findings demonstrate that how drivers reclaim control from their automated vehicle is not an isolated phenomenon but is associated with manual driving behaviour and driving experience. Strategies to improve takeover safety and comfort could be based on driving style measures, for example by the automated vehicle adapting its behaviour to match a driver's driving style.

摘要

由于自动驾驶车辆需要人类驾驶员在危急情况下恢复控制,因此预测驾驶员接管行为可能有助于安全地进行控制权转换。虽然之前的研究已经探讨了与驾驶员状态和特征相关的接管行为预测,但很少有工作研究手动驾驶风格的预测价值。我们假设驾驶员在手动驾驶时的行为可以预测他们从自动驾驶车辆恢复控制时的接管行为。我们在高保真驾驶模拟器中评估了 38 名具有不同经验的驾驶员。在完成评估其驾驶风格的手动驾驶课程后,参与者通常会在随后的日期执行自动化驾驶任务。从手动驾驶课程中获得的驾驶风格指标,包括车间距和变道速度,被证明可以预测接管行为。驾驶经验水平与行为测量指标相关,但在控制驾驶员经验后,手动驾驶风格和接管行为之间的相关性仍然存在。我们的研究结果表明,驾驶员从自动驾驶车辆重新获得控制权的方式并不是孤立的现象,而是与手动驾驶行为和驾驶经验相关。可以基于驾驶风格指标来提高接管安全性和舒适性的策略,例如,自动驾驶车辆可以根据驾驶员的驾驶风格来调整其行为。

相似文献

1
Once a driver, always a driver - Manual driving style persists in automated driving takeover.一旦成为司机,就永远是司机——手动驾驶风格在自动驾驶接管中仍然存在。
Appl Ergon. 2024 Nov;121:104366. doi: 10.1016/j.apergo.2024.104366. Epub 2024 Aug 22.
2
In a heart beat: Using driver's physiological changes to determine the quality of a takeover in highly automated vehicles.心跳之间:利用驾驶员的生理变化来判断高度自动化车辆接管的质量。
Accid Anal Prev. 2019 Oct;131:180-190. doi: 10.1016/j.aap.2019.06.011. Epub 2019 Jul 11.
3
Effects of Task-Induced Fatigue in Prolonged Conditional Automated Driving.任务诱导疲劳对长时间条件自动化驾驶的影响。
Hum Factors. 2019 Nov;61(7):1186-1199. doi: 10.1177/0018720818816226. Epub 2019 Jan 18.
4
Effects of unreliable automation, non-driving related task, and takeover time budget on drivers' takeover performance and workload.不可靠自动化、非驾驶相关任务以及接管时间预算对驾驶员接管性能和工作量的影响。
Ergonomics. 2023 Feb;66(2):182-197. doi: 10.1080/00140139.2022.2069868. Epub 2022 May 2.
5
Noncritical State Transitions During Conditionally Automated Driving on German Freeways: Effects of Non-Driving Related Tasks on Takeover Time and Takeover Quality.条件自动驾驶高速公路上的非关键状态转换:非驾驶相关任务对接管时间和接管质量的影响。
Hum Factors. 2019 Jun;61(4):596-613. doi: 10.1177/0018720818824002. Epub 2019 Jan 28.
6
Age-related differences in effects of non-driving related tasks on takeover performance in automated driving.驾驶相关任务对自动驾驶接管性能影响的年龄相关差异。
J Safety Res. 2020 Feb;72:231-238. doi: 10.1016/j.jsr.2019.12.019. Epub 2020 Jan 13.
7
Promote or inhibit: An inverted U-shaped effect of workload on driver takeover performance.促进还是抑制:工作量对驾驶员接管性能的倒U形效应。
Traffic Inj Prev. 2020;21(7):482-487. doi: 10.1080/15389588.2020.1804060. Epub 2020 Aug 21.
8
Drivers trust, acceptance, and takeover behaviors in fully automated vehicles: Effects of automated driving styles and driver's driving styles.自动驾驶汽车中的驾驶员信任、接受和接管行为:自动驾驶风格和驾驶员驾驶风格的影响。
Accid Anal Prev. 2021 Sep;159:106238. doi: 10.1016/j.aap.2021.106238. Epub 2021 Jun 25.
9
Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control.高度自动化车辆的接管时间:手动控制的非关键转换
Hum Factors. 2017 Jun;59(4):689-705. doi: 10.1177/0018720816685832. Epub 2017 Jan 26.
10
Behavioral Changes to Repeated Takeovers in Highly Automated Driving: Effects of the Takeover-Request Design and the Nondriving-Related Task Modality.高度自动驾驶中多次接管的行为变化:接管请求设计和非驾驶相关任务模式的影响。
Hum Factors. 2019 Aug;61(5):839-849. doi: 10.1177/0018720818814963. Epub 2018 Dec 5.