• DocumentCode
    1027162
  • Title

    Subjective strain estimation depending on driving manoeuvres and traffic situation

  • Author

    Schiessl, Caroline

  • Author_Institution
    German Aerosp. Center, Inst. of Transp. Syst., Braunschweig
  • Volume
    2
  • Issue
    4
  • fYear
    2008
  • fDate
    12/1/2008 12:00:00 AM
  • Firstpage
    258
  • Lastpage
    265
  • Abstract
    Access to current workload is regarded as crucial for new driver assistance systems that aim at optimising drivers´ workload in addition to their specific functionalities (e.g. coordinate, prioritise information). As stress factors change dynamically within the driving context, workload assessment should be dynamic and continuous rather than discrete. Here, the effects of two dynamically changing stress factors (traffic density and different demands within the manoeuvre ´entering the motorway´) on workload are examined. The aim of the study is to analyse whether the influence of these stress factors on workload can be measured using a continuous subjective rating method. The results demonstrate that the use of the subjective rating method allowed the assessment of detailed information on the influence of varying stress factors on subjective strain. Furthermore, t.he significant interaction between the stress factors demonstrated the importance of precise description of the relations among different dynamically changing stress factors and resulting subjective driver strain. By integrating the current findings with results from the previous studies, the wider aim of the research, the development of a qualitative and quantitative model of stress and strain, is discussed.
  • Keywords
    behavioural sciences computing; traffic engineering computing; continuous subjective rating method; driver assistance systems; driving manoeuvres; stress factors; subjective driver strain estimation; traffic situation; workload assessment;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transport Systems, IET
  • Publisher
    iet
  • ISSN
    1751-956X
  • Type

    jour

  • DOI
    10.1049/iet-its:20080024
  • Filename
    4706512