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A team task complexity measure for emergency procedures in fully automatic metro

机译:全自动地铁中应急程序的团队任务复杂性度量

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A measure of team task complexity for emergency procedures in fully automatic metro is proposedusing a Euclidean norm based on two factors: internal complexity of network nodesNode_(com − inside) and external complexity of network nodes Node_(com − outside). The development of theoperation complexity measure followed four steps. First, team task complexity network for emergencyprocedures was constructed. Second, the task complexity (TC) method used as complexitymeasure of individual was adopted to measure the internal complexity of network nodes. Then,the external complexity of network nodes was measured by structure entropy. Finally, the teamtask complexity values for emergency procedureswere determined by the Euclidean norm of thetwo factors. To verify the validity of this team task complexity measure, a one-factor experimentwas designed to test the proposed model. Thirteen team subjects participated in the experimentand performed 5 typical emergency scenes. Both objective indexes (TeamTIME) and subjectiveindexes (TeamWORKLOAD and TeamSUBCOMPLEXITY)were used in the experiment. The data analysisshowed that the TeamTIME, TeamWORKLOAD, and TeamSUBCOMPLEXITY could be predictedwell from the team task complexity value. The proposed team task complexity measure can beused for evaluation of emergency procedures design in fully automatic metro.
机译:提出了基于两个因素的欧几里得准则来度量全自动地铁中应急程序的团队任务复杂性:网络节点的内部复杂度Node_(com-内部)和网络节点的外部复杂度Node_(com-内部)。操作复杂性度量的制定遵循四个步骤。首先,构建了应急程序团队任务复杂性网络。其次,采用任务复杂度(TC)方法作为个体的复杂度度量来度量网络节点的内部复杂度。然后,通过结构熵来度量网络节点的外部复杂度。最后,应急程序的团队任务复杂度值由两个因素的欧几里得准则确定。为了验证该团队任务复杂性度量的有效性,设计了一个单因素实验来测试所提出的模型。十三名团队受试者参加了该实验,并执行了5个典型的紧急场景。实验中同时使用了客观指标(TeamTIME)和主观指标(TeamWORKLOAD和TeamSUBCOMPLEXITY)。数据分析表明,从团队任务复杂度值可以很好地预测出TeamTIME,TeamWORKLOAD和TeamSUBCOMPLEXITY。所提出的团队任务复杂性度量可用于评估全自动地铁中的应急程序设计。

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