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Human factors applications of on-train-data-recorder (OTDR) data: an exploratory study
Cognition, Technology & Work ( IF 2.4 ) Pub Date : 2020-01-08 , DOI: 10.1007/s10111-019-00622-y
N. Balfe

This paper describes the results of an exploratory study on the analysis of on-train-data-recorder (OTDR) data. The results are discussed in terms of their applicability in competence management and human factors research. Data were downloaded for 20 journeys at the same time of day, over the same route during 1 month. The data were matched to the drivers rostered to work that route to compare differences within and between drivers. Clear differences were found between drivers in terms of their use of the power and brake levers, but unsurprisingly the network was also found to exert an influence on their use. The station dwell times and overall journey time were found to routinely exceed timetabled allowances, and red signals were frequently encountered across the 20 journeys. The data provide for possibilities to support driver competence management through the identification of desirable driving behaviours, but as yet such indicators have not been validated. The data also provide a wealth of information for human factors research that has applications in better understanding the train driver task and supporting it through improving rules and interface designs.

中文翻译:

列车数据记录器 (OTDR) 数据的人为因素应用:一项探索性研究

本文介绍了对列车数据记录器 (OTDR) 数据分析的探索性研究结果。讨论结果在能力管理和人为因素研究中的适用性。下载了 1 个月内同一路线上一天中同一时间 20 次行程的数据。这些数据与被安排在这条路线上工作的司机相匹配,以比较司机内部和之间的差异。司机之间在动力和刹车杆的使用方面存在明显差异,但不出所料,网络也对他们的使用产生影响。车站停留时间和总行程时间被发现经常超过时间表允许,并且在 20 个行程中经常遇到红色信号。这些数据提供了通过识别理想的驾驶行为来支持驾驶员能力管理的可能性,但这些指标尚未得到验证。这些数据还为人为因素研究提供了丰富的信息,可用于更好地理解火车司机的任务并通过改进规则和界面设计来支持它。
更新日期:2020-01-08
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