Collaborative Innovation Center for HSR Driver Health and Safety, Zhengzhou Railway Vocational &Technical College, Zhengzhou 451460, China.
Henan Engineering Research Center of Rail Transit Intelligent Security, Zhengzhou Railway Vocational &Technical College, Zhengzhou 451460, China.
Int J Environ Res Public Health. 2023 Jan 28;20(3):2314. doi: 10.3390/ijerph20032314.
System upgrades and team members interactions lead to changes in task structure. Therefore, in order to handle emergencies efficiently and safely, a comprehensive method of the traffic dispatching team task complexity (TDTTC) is proposed based on team cognitive work analysis (Team-CWA) and network feature analysis. The method comes from the perspective of the socio-technical system. Two stages were included in this method. In the first stage, four phases of Team-CWA, i.e., team work domain analysis, team control task analysis, team strategies analysis, and team worker competencies analysis, were applied in the qualitative analysis of TDTTC. Then in the second stage, a mapping process was established based on events and information cues. After the team task network was established, the characteristic indexes of node degree/average degree, average shortest path length, agglomeration coefficient, and overall network performance for TDTTC were extracted to analyze TDTTC quantitatively. The cases of tasks for screen door fault under grade of automation GOA1-GOA4 were compared. The results revealed that the more nodes and communication between nodes, the larger the network scale was, which would lead to the TDTTC being more complicated no matter what level of automation system it was under. This method is not only the exploration of cognitive engineering theory in the field of task complexity, but also the innovation of team task complexity in the development of automatic metro operation.
系统升级和团队成员交互导致任务结构发生变化。因此，为了高效、安全地处理突发事件，提出了一种基于团队认知工作分析（Team-CWA）和网络特征分析的综合交通调度团队任务复杂性（TDTTC）方法。该方法源于社会技术系统的角度。该方法包括两个阶段。在第一阶段，应用 Team-CWA 的四个阶段，即团队工作域分析、团队控制任务分析、团队策略分析和团队工人能力分析，对 TDTTC 进行定性分析。然后在第二阶段，基于事件和信息线索建立映射过程。在建立团队任务网络后，提取 TDTTC 的节点度/平均度、平均最短路径长度、凝聚系数和整体网络性能等特征指标，对 TDTTC 进行定量分析。比较了自动化等级 GOA1-GOA4 下的屏蔽门故障任务案例。结果表明，节点越多，节点之间的通信越多，网络规模越大，无论自动化系统处于何种水平，TDTTC 都会变得更加复杂。该方法不仅是认知工程理论在任务复杂性领域的探索，也是自动地铁运行中团队任务复杂性发展的创新。
