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基于ERP技术的疲劳对驾驶人行为监控能力影响研究

ERP-based Study on the Influence of Fatigue on Drivers’ Action Monitoring Ability

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【作者】 郭孜政刘仙陈瑞雅潘雨帆史磊张骏

【Author】 GUO Zi-zheng;LIU Xian;CHEN Rui-ya;PAN Yu-fan;SHI Lei;ZHANG Jun;School of Transportation and Logistics,Southwest Jiaotong University;National United Engineering Laboratory of Integrated and Intelligent Transportation,Southwest Jiaotong University;

【通讯作者】 张骏;

【机构】 西南交通大学交通运输与物流学院西南交通大学综合交通运输智能化国家地方联合工程实验室

【摘要】 为探究疲劳对驾驶人行为监控能力的影响性,采用模拟驾驶任务和Go/NoGo任务相结合的双任务试验,利用事件相关电位(ERP)技术,分析30名驾驶人的表征行为监控能力的脑电指标(ERN波幅)和驾驶行为指标(车道偏移标准差、方向盘反转率、速度标准差)的相关性,以验证所选驾驶行为指标表征行为监控能力的有效性;分析试验任务第1阶段(0~15min)和第2阶段(75~90min)的ERN波幅、车道偏移标准差、方向盘反转率、速度标准差的差异性,以探究疲劳对行为监控能力的影响机理。研究结果表明:ERN波幅和车道偏移标准差、方向盘反转率、速度标准差存在显著相关性;与试验任务第1阶段(0~15min)相比,第2阶段(75~90min)的车道偏移标准差、方向盘反转率、速度标准差显著增加,额中央区的ERN波幅显著降低;疲劳可导致驾驶人由前额叶调控的行为监控能力受损;车道偏移标准差、方向盘反转率、速度标准差这3项指标可作为测定行为监控能力的驾驶行为指标。

【Abstract】 To investigate the influence of fatigue on drivers’ action monitoring ability,a dual-task experiment that combined simulated driving with a Go/NoGo task was adopted.The eventrelated potential(ERP)technique was adopted to analyze the correlations between the EEG index(ERN amplitude)that reflected action monitoring ability and the driving behavior indexes(SDLP,SRR,SDS)of 30 drivers to validate the characterization effectiveness of the driving behavior indexes.The diversities of the ERN amplitude,SDLP,SRR,and SDS between the stage one(0-15 min)and stage two(75-90 min)were analyzed to investigate the influence mechanism of fatigue on action monitoring ability.The results showed that the ERN amplitude had a connection to the SDLP,SRR,and SDS indexes.Compared with stage one(0-15 min),theSDLP,SRR,and SDS indexes increased,and the ERN in the frontal central area decreased significantly in stage two(75-90 min).The results indicate that fatigue impairs the function of action monitoring of drivers,which is regulated by prefrontal lobe.In addition,the correlation analysis indicates that the SDLP,SRR,and SDS indexes can be used as driving behavior indexes that measure action monitoring ability.

【基金】 国家自然科学基金项目(51108390);中国铁路总公司科技研究开发计划项目(2016X008-K)
  • 【文献出处】 中国公路学报 ,China Journal of Highway and Transport , 编辑部邮箱 ,2018年08期
  • 【分类号】U463.6
  • 【被引频次】7
  • 【下载频次】446
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