School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China.
National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu, China.
PLoS One. 2019 Nov 11;14(11):e0224966. doi: 10.1371/journal.pone.0224966. eCollection 2019.
The obscured pedestrian-motor vehicle crash has become a serious danger to driving safety. The present study aims to investigate the contingent negative variation (CNV) during the anticipation of an obscured pedestrian-motor vehicle crash in simulated driving. We adopted two cueing tasks: (i) a traditional cognitive paradigm of cueing task that has been widely used to study anticipatory process, and (ii) a modified cueing task in simulated driving scenes, in which Electroencephalogram (EEG) signals of 32 participants were recorded to detect the CNV. Simulated car following and pedestrian crossing tasks were designed to measure anticipation-related driving behaviors. The results showed that both early and late CNVs were observed in two cueing tasks. The mean amplitude of the late CNV during a modified cueing task in simulated driving was significantly larger than that in a traditional cueing task, which was not the case for the early CNV potentials. In addition, both early and late CNVs elicited in simulated driving were significantly correlated with anticipatory driving behaviors (e.g., the minimum time to collision). These findings show that CNV potentials during the anticipation of an obscured pedestrian-motor vehicle crash might predict anticipation-related risky driving behaviors.
被遮挡的行人和机动车碰撞已成为驾驶安全的严重威胁。本研究旨在探讨模拟驾驶中对被遮挡的行人和机动车碰撞的预期过程中的伴随性负变（CNV）。我们采用了两种提示任务：（i）传统的认知范式提示任务，已广泛用于研究预期过程，和（ii）模拟驾驶场景中的修改后的提示任务，其中记录了 32 名参与者的脑电图（EEG）信号以检测 CNV。设计了模拟跟车和行人穿越任务来测量与预期相关的驾驶行为。结果表明，在两种提示任务中都观察到了早期和晚期 CNV。在模拟驾驶中的修改后的提示任务中，晚期 CNV 的平均振幅明显大于传统提示任务中的晚期 CNV，而早期 CNV 则不然。此外，在模拟驾驶中引发的早期和晚期 CNV 均与预期相关的驾驶行为（例如，碰撞的最小时间）显著相关。这些发现表明，被遮挡的行人和机动车碰撞的预期过程中的 CNV 电位可能预测与预期相关的危险驾驶行为。
