汽车工程

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驾驶员脑力负荷计算系统的设计与实现

裴叶青1,2, 金晓萍1,2, 宋正河1,2,刘龙灿1,2   

  1. 1.中国农业大学工学院,北京 100083;2. 现代农业装备优化设计北京市重点实验室,北京 100083
  • 出版日期:2019-03-05 发布日期:2019-03-05
  • 基金资助:
     

Design and Implementation of Driver Mental Workload Simulation System

    

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  • Online:2019-03-05 Published:2019-03-05
  • Supported by:
     

摘要: 随着汽车的普及,交通事故频发,驾驶时的高脑力负荷是引发事故的重要原因。多资源理论认为脑力负荷来源于信息处理过程,信息处理过程可以用视觉、听觉、认知和动作行为要素来描述。本文在多资源理论的基础上,归纳出对典型驾驶任务的分析方法。在此基础上,使用脑力负荷计算模型,将负荷计算过程程序化。本文选取了“绿灯路口直行”这一任务进行案例分析,利用计算系统实现了由“驾驶任务”到“脑力负荷”的定量转化,最后采用实验的方法测量被试的眼动指标、皮肤电信号,与计算系统所得出的负荷值进行对比,证明了该系统的正确性与可用性。通过本文的研究,可以方便地对典型驾驶任务进行脑力负荷的计算与预测,以找到高负荷产生的原因,从而减少交通事故的发生。

关键词: 脑力负荷, 驾驶, 多资源理论

Abstract: With the popularity of automobiles, traffic accidents frequently occur, and high mental workload during driving is an important cause of accidents. The multiple resources theory holds that the mental load is derived from the information processing process, and the information processing process can be described by four behavioral elements: visual, auditory, cognitive and psychomotor. Based on the multiple resources theory, this paper summarizes the analysis methods of typical driving tasks. On this basis, the load calculation process is programmed using the mental workload calculation model. In the paper, the task of "green light crossing straight" is selected for case analysis. The calculation system is used to realize the quantification transformation from "driving task" to "brain load". Finally, an experiment recording the operator's eye movement index and skin electricity level during the task is conducted, and the experimental results are compared with the result from the calculation system. The resulting load value comparison validates the correctness and availability of the system. Through the research of this paper, it is convenient to calculate and predict the mental workload of typical driving tasks to find the cause of high load, thus reducing the occurrence of traffic accidents.

Key words: mental workload, driving, multiple resources theory

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