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Visual in-car warnings: How fast do drivers respond?

机译:可视的车载警告:驾驶员的反应速度有多快?

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We investigate how quickly drivers can change lanes in response to a visual in-car warning. Our work is motivated by technological developments, in which beacons along the road can trigger in-car warnings, for example when a driver is approaching a lane closure. What is not known, however, is at what distance such an in-car warning still allows for a timely lane change. We measured how quickly drivers respond to a visual in-car warning in a driving simulator. The driving task was combined with an audio task that provided different levels of cognitive distraction. We found that the initial reaction time to in-car warnings was significantly larger for drivers that were distracted by the audio task. Although the majority of drivers responded in time for a safe lane change, some drivers occasionally missed these signals, pointing at a serious potential hazard. Indeed, the results of a simulation model, used to investigate how this might extrapolate to regular traffic conditions, suggest that around 50% of drivers might not make a timely lane change in response to a last-minute warning. This indicates that these signals might be insufficient on their own when applied in the real world. This work can inform the design and evaluation of safer roads and in-car interfaces. (C) 2018 The Authors. Published by Elsevier Ltd.
机译:我们研究了驾驶员如何响应可视化的车内警告而快速改变车道。我们的工作受到技术发展的激励,其中,沿路的信标会触发车内警告,例如,当驾驶员接近车道时。然而,未知的是,这种车内警告仍允许多远的距离以便及时改变车道。我们测量了驾驶员在驾驶模拟器中对可视化车内警告做出响应的速度。驾驶任务与音频任务相结合,可以提供不同程度的认知分散。我们发现,对于被音频任务分散注意力的驾驶员,对车内警告的初始反应时间明显更长。尽管大多数驾驶员及时对安全换道做出了反应,但有些驾驶员偶尔会错过这些信号,这表明存在严重的潜在危险。确实,用于调查这可能如何推断正常交通状况的模拟模型结果表明,大约有50%的驾驶员可能没有响应最后一分钟的警告而及时改变车道。这表明,在现实世界中应用这些信号时,可能单靠不足。这项工作可以为更安全的道路和车内接口的设计和评估提供依据。 (C)2018作者。由Elsevier Ltd.发布

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