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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.

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。

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