基于多生理参数的空中交通管制员认知负荷综合评估  

Air Traffic Controllers Cognitive Load Comprehensive Evaluation Based on the Multiple Physiological Parameter

作　　者：王超[1] 于超博 

机构地区：[1]中国民航大学空中交通管理学院,天津300300

出　　处：《科学技术与工程》2014年第27期295-300,共6页Science Technology and Engineering

基　　金：国家自然科学基金(61039001);国家科技支撑计划(2011BAH24B08);中央高校基本科研业务费专项资金资助项目(3122011A002)资助

摘　　要：空中交通管制员认知负荷是其工作负荷的重要组成部分,将其科学地量化对全面评估管制员工作负荷提高扇区容量具有重要意义。从航空器数量、冲突点数量以及进离场比例三个因素综合考虑,设计不同的模拟管制实验,分析管制员在雷达管制的过程中各生理指标随认知负荷的变化关系。通过方差分析筛选出对认知负荷变化敏感的指标,建立BP神经网络模型并与NASA-TLX主观评估模型对比进行可行性检验,结果表现出较高的一致性。研究证明,航空器数量、冲突点数量以及进离场比例的变化会显著影响管制员的认知负荷。Controller＇s cognitive load is an important component of air traffic controllers＇ workload,evaluating the cognitive load quantitatively and scientifically is very important to evaluate the air traffic controllers＇ workload comprehensively and improve the capacity of airspace. Some different simulated control experiments based on the number of aircraft and conflict as well as the proportion between arrival and departure routes are designed,then analysed the relevance between physiological indicators and the change of cognitive load in the process of radar control. Variance analysis is used to get the indexes sensitive to changes in cognitive load,and establishes BP neural network model which is conducted feasibility test with NASA-TLX subjective assessment model,which shows a high consistency. Research proves that the change in the number of aircraft and conflict,the proportion between arrival and departure routes will influence the controller＇s cognitive load significantly.

关 键 词：认知负荷 多生理参数 空中交通管制员 神经网络 

分 类 号：V355.2[航空宇航科学与技术—人机与环境工程]