@inproceedings{23dd9c4894064be6bb619c715679f4c6,
title = "Estimation of train driver workload: Extracting taskload measures from on-train-data-recorders",
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.",
keywords = "OTDR, Rail human factors, Train driver taskload",
author = "Nora Balfe and Katie Crowley and Brendan Smith and Luca Longo",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 1st International Symposium on Human Mental Workload: Models and Applications, H-WORKLOAD 2017 ; Conference date: 28-06-2017 Through 30-06-2017",
year = "2017",
doi = "10.1007/978-3-319-61061-0_7",
language = "English",
isbn = "9783319610603",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "106--119",
editor = "Luca Longo and Leva, {M. Chiara}",
booktitle = "Human Mental Workload",
}