A Systems Approach to Predicting and Measuring Workload in Rail Traffic Management Systems

Joanna Evans

Research output: Contribution to conferencePaperpeer-review

Abstract

The introduction of systems such as Traffic Management (TM) will result in a number of changes in how the railway is managed for operations and maintenance staff such as, an increase in collaborative working styles and shared responsibilities. In order to react to these changing operational demands and user needs, TM workstation designs need to have greater flexibility and be configurable to support the information requirements for each specific role as well as support each role during different scenarios. Although this flexibility in system design has the potential to enhance performance, it increases the complexity of measuring operator workload. The In2Rail project explored these issues and this paper summarises the outputs; key future workload principles to consider, a proposed toolset to forecast workload and modifications to existing measurement techniques.
Original languageEnglish
DOIs
Publication statusPublished - 2017
Externally publishedYes
EventH-Workload 2017 - Dublin, Ireland
Duration: 28 Jun 201730 Jun 2017

Conference

ConferenceH-Workload 2017
Country/TerritoryIreland
CityDublin
Period28/06/1730/06/17
OtherThe first international symposium on human mental workload

Keywords

  • Traffic Management
  • collaborative working styles
  • shared responsibilities
  • operational demands
  • user needs
  • workstation designs
  • flexibility
  • configurable
  • information requirements
  • performance
  • complexity
  • operator workload
  • In2Rail project
  • workload principles
  • forecast workload
  • measurement techniques

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