驾驶员脑力负荷计算系统的设计与实现*

doi:10.19562/j.chinasae.qcgc.2019.011.006

摘要/Abstract

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,信息处理过程可用视觉、听觉、认知和动作等行为要素来描述。本文中对驾驶员脑力负荷计算系统的设计和实现进行研究。首先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,建立了脑力负荷计算模型;然后选取了“绿灯路口直行”这一任务进行案例分析,利用计算系统根据驾驶任务计算出脑力负荷值;最后采用实验的方法测量被试的瞳孔直径和皮肤电信号,并与计算系统算出的脑力负荷值进行对比,证明了该系统的正确性与可用性。本文提出的方法,可方便地对典型驾驶任务进行脑力负荷的计算与预测,找到高负荷产生的原因,从而减少交通事故的发生。

关键词: 驾驶员, 脑力负荷, 多资源理论

Abstract: With the popularity of motor vehicles, traffic accidents frequently occur, and high mental workload during driving becomes an important cause of accidents. Multiple resource theory holds that mental workload stems from information processing process, which can be described by essential behavioral factors such as vision, audition, cognition and psychomotor. The design and implementation of driver's mental workload calculation system are studied in this paper. Firstly, based on multiple resource theory, the analysis methods of typical driving tasks are summed up and the calculation model for mental workload is established. Then the task of “intersection green-light straight crossing” is selected for case analysis, and according to the driving task, mental workload value is calculated by using calculation system. Finally, the pupil diameter and skin electrical signal of testees are measured by experiments and compared with the mental workload value calculated, demonstrating the correctness and usability of the system. The method proposed can handily calculate and predict the mental workload of drivers in executing typical driving task, find out the causes of high mental workload and hence reduce the occurrence of traffic accidents.

Key words: drivers, mental workload, multiple resource theory

裴叶青, 金晓萍, 宋正河, 刘龙灿. 驾驶员脑力负荷计算系统的设计与实现^*[J]. 汽车工程, 2019, 41(11): 1265-1272.

Pei Yeqing, Jin Xiaoping, Song Zhenghe, Liu Longcan. Design and Implementation of Mental Workload Calculation System for Drivers[J]. Automotive Engineering, 2019, 41(11): 1265-1272.

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驾驶员脑力负荷计算系统的设计与实现^*

Design and Implementation of Mental Workload Calculation System for Drivers

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