自动化铁路系统的远程监控和恢复:工作人员对系统弹性的变化贡献

N. Brandenburger, A. Naumann
{"title":"自动化铁路系统的远程监控和恢复:工作人员对系统弹性的变化贡献","authors":"N. Brandenburger, A. Naumann","doi":"10.1109/ICIRT.2018.8641576","DOIUrl":null,"url":null,"abstract":"Rail automation in mainline operation raises questions about system resilience, becauseit goes along with increased technological and operational complexity, while ultimately discarding the train driver as front-line staff situated onboard the train. We argue in favor of keeping the layer of resilience associated with the train driver in the system through a train operator workplace that enables remote supervision, diagnosis and intervention of automated rolling stock out of a control center. Firstly, results from a simulator study featuring a prototypical remote workplace, developed in an iterative user-centered design process, show positive feedback in a sample of active German train drivers (n}=textbf{{20) in terms of acceptance ratings, usability assessment and perceived benefit to system resilience. Secondly, lower than optimal workload ratings in two experimental conditions of varying task load indicated free capacity for additional operational tasks throughout periods without direct manual interventions. Further insights on task load and workplace design as well as their limits are discussed, pointing out the direction for the next steps to be taken in the following design iterations. Future research needs to generate measures suitable for comparing system resilience between different grades of automation.","PeriodicalId":202415,"journal":{"name":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Towards remote supervision and recovery of automated railway systems: The staff’s changing contribution to system resilience\",\"authors\":\"N. Brandenburger, A. Naumann\",\"doi\":\"10.1109/ICIRT.2018.8641576\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Rail automation in mainline operation raises questions about system resilience, becauseit goes along with increased technological and operational complexity, while ultimately discarding the train driver as front-line staff situated onboard the train. We argue in favor of keeping the layer of resilience associated with the train driver in the system through a train operator workplace that enables remote supervision, diagnosis and intervention of automated rolling stock out of a control center. Firstly, results from a simulator study featuring a prototypical remote workplace, developed in an iterative user-centered design process, show positive feedback in a sample of active German train drivers (n}=textbf{{20) in terms of acceptance ratings, usability assessment and perceived benefit to system resilience. Secondly, lower than optimal workload ratings in two experimental conditions of varying task load indicated free capacity for additional operational tasks throughout periods without direct manual interventions. Further insights on task load and workplace design as well as their limits are discussed, pointing out the direction for the next steps to be taken in the following design iterations. Future research needs to generate measures suitable for comparing system resilience between different grades of automation.\",\"PeriodicalId\":202415,\"journal\":{\"name\":\"2018 International Conference on Intelligent Rail Transportation (ICIRT)\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Intelligent Rail Transportation (ICIRT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIRT.2018.8641576\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Intelligent Rail Transportation (ICIRT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIRT.2018.8641576","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

主线运营中的铁路自动化引发了关于系统弹性的问题,因为它伴随着技术和操作复杂性的增加,同时最终将火车司机作为列车上的一线工作人员抛弃。我们赞成通过列车操作员工作场所将与列车驾驶员相关的弹性层保留在系统中,该工作场所可以在控制中心之外远程监督、诊断和干预自动轨道车辆。首先,在以用户为中心的迭代设计过程中开发的具有原型远程工作场所的模拟器研究结果显示,在活跃的德国火车司机(n}=textbf{{20)的样本中,在接受度评分、可用性评估和对系统弹性的感知效益方面显示出积极的反馈。其次,在两种不同任务负载的实验条件下,低于最佳工作负载评级表明,在没有直接人工干预的情况下,整个时间段内额外操作任务的空闲能力。本文还讨论了关于任务负载和工作场所设计的进一步见解以及它们的局限性,指出了在接下来的设计迭代中要采取的下一步步骤的方向。未来的研究需要产生适合于比较不同自动化等级之间系统弹性的度量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards remote supervision and recovery of automated railway systems: The staff’s changing contribution to system resilience
Rail automation in mainline operation raises questions about system resilience, becauseit goes along with increased technological and operational complexity, while ultimately discarding the train driver as front-line staff situated onboard the train. We argue in favor of keeping the layer of resilience associated with the train driver in the system through a train operator workplace that enables remote supervision, diagnosis and intervention of automated rolling stock out of a control center. Firstly, results from a simulator study featuring a prototypical remote workplace, developed in an iterative user-centered design process, show positive feedback in a sample of active German train drivers (n}=textbf{{20) in terms of acceptance ratings, usability assessment and perceived benefit to system resilience. Secondly, lower than optimal workload ratings in two experimental conditions of varying task load indicated free capacity for additional operational tasks throughout periods without direct manual interventions. Further insights on task load and workplace design as well as their limits are discussed, pointing out the direction for the next steps to be taken in the following design iterations. Future research needs to generate measures suitable for comparing system resilience between different grades of automation.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信