Estimation of train driver workload: Extracting taskload measures from on-train-data-recorders

Nora Balfe, Katie Crowley, Brendan Smith, Luca Longo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationHuman Mental Workload
Subtitle of host publicationModels and Applications - 1st International Symposium, H-WORKLOAD 2017, Revised Selected Papers
EditorsLuca Longo, M. Chiara Leva
PublisherSpringer Verlag
Pages106-119
Number of pages14
ISBN (Print)9783319610603
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event1st International Symposium on Human Mental Workload: Models and Applications, H-WORKLOAD 2017 - Dublin, Ireland
Duration: 28 Jun 201730 Jun 2017

Publication series

NameCommunications in Computer and Information Science
Volume726
ISSN (Print)1865-0929

Conference

Conference1st International Symposium on Human Mental Workload: Models and Applications, H-WORKLOAD 2017
Country/TerritoryIreland
CityDublin
Period28/06/1730/06/17

Keywords

  • OTDR
  • Rail human factors
  • Train driver taskload

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