Author ORCID Identifier
https://orcid.org/ 0000-0002-2718-5426
Document Type
Conference Paper
Rights
Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Disciplines
Computer Sciences
Abstract
This paper presents a method to extract train driver taskload from downloads of on-train-data-recorders (OTDR). OTDR are in widespread use for the purposes of condition monitoring of trains, but they may also have applications in operations monitoring and management. Evaluation of train driver workload is one such application. The paper describes the type of data held in OTDR recordings and how they can be transformed into driver actions throughout a journey. Example data from 16 commuter journeys are presented, which highlights the increased taskload during arrival at stations. Finally, the possibilities and limitations of the data are discussed.
DOI
https://doi.org/10.1007/978-3-319-61061-0_7
Recommended Citation
Balfe N., Crowley K., Smith B., Longo L. (2017) Estimation of Train Driver Workload: Extracting Taskload Measures from On-Train-Data-Recorders. In: Longo L., Leva M. (eds) Human Mental Workload: Models and Applications. H-WORKLOAD 2017. Communications in Computer and Information Science, vol 726. Springer, Cham. DOI: 10.1007/978-3-319-61061-0_7
Publication Details
https://doi.org/10.1007/978-3-319-61061-0_7