Simulated train driving: Fatigue, self-awareness and cognitive disengagement
Simulated train driving: Fatigue, self-awareness and cognitive disengagement
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DOI：
10.1016/j.apergo.2006.03.006
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发表时间：
2007-03-01
影响因子：
3.2
通讯作者：
Dawson, Drew
中科院分区：
文献类型：
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作者：
Dorrian, Jillian;Roach, Gregory D.;Dawson, Drew
疲劳是铁路行业的一个严重问题，增加了效率和事故风险。在铁路模拟器中，对20名列车驾驶员在低、中、高疲劳水平下的工作表现进行了研究。还评估了心理警觉性（PVT）、自评表现和主观警觉性。警觉性、PVT反应时间、超速（超过极限25%）和惩罚性制动应用随疲劳水平的增加而增加。相比之下，燃料使用，草案（拉伸）力和制动错误是最高的中度疲劳水平。因此，在高疲劳水平下，涉及未能采取行动的错误（遗漏错误）增加，而不正确的反应（委员会的错误）减少。疲劳对错误类型的不同影响可以通过在高疲劳水平下与虚拟列车的认知脱离来解释。与火车的互动大大减少，事故风险增加。对疲劳相关的性能变化的认识充其量是中等的。这些调查结果是业务方面的问题。(c)2006爱思唯尔有限公司保留所有权利。
Fatigue is a serious issue for the rail industry, increasing inefficiency and accident risk. The performance of 20 train drivers in a rail simulator was investigated at low, moderate and high fatigue levels. Psychomotor vigilance (PVT), self-rated performance and subjective alertness were also assessed. Alertness, PVT reaction times, extreme speed violations (> 25% above the limit) and penalty brake applications increased with increasing fatigue level. In contrast, fuel use, draft (stretch) forces and braking errors were highest at moderate fatigue levels. Thus, at high fatigue levels, errors involving a failure to act (errors of omission) increased, whereas incorrect responses (errors of commission) decreased. The differential effect of fatigue on error types can be explained through a cognitive disengagement with the virtual train at high fatigue levels. Interaction with the train reduced dramatically, and accident risk increased. Awareness of fatigue-related performance changes was moderate at best. These findings are of operational concern. (c) 2006 Elsevier Ltd. All rights reserved.