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Sökning: WFRF:(Forcolin Fabio 1991) > How Do Drivers Resp...

  • Bianchi Piccinini, Giulio,1982Chalmers tekniska högskola,Chalmers University of Technology (författare)

How Do Drivers Respond to Silent Automation Failures? Driving Simulator Study and Comparison of Computational Driver Braking Models

  • Artikel/kapitelEngelska2020

Förlag, utgivningsår, omfång ...

  • 2019-10-07
  • Chalmers University of Technology, Gothenburg, Sweden.; Volvo Group Trucks Technology, Gothenburg, Sweden.; Virginia Tech Transportation Institute, Blacksburg, USA.; University of Leeds, UK.; VTI, Gothenburg, Sweden.SAGE Publications,2020

Nummerbeteckningar

  • LIBRIS-ID:oai:research.chalmers.se:8ddb25f1-b2d9-4bd1-b876-a7d7180a222c
  • https://doi.org/10.1177/0018720819875347DOI
  • https://research.chalmers.se/publication/513210URI
  • https://research.chalmers.se/publication/513255URI
  • https://research.chalmers.se/publication/513478URI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:vti:diva-14968URI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:art swepub-publicationtype
  • Ämneskategori:ref swepub-contenttype

Anmärkningar

  • Objective: This paper aims to describe and test novel computational driver models, predicting drivers’ brake reaction times (BRTs) to different levels of lead vehicle braking, during driving with cruise control (CC) and during silent failures of adaptive cruise control (ACC). Background: Validated computational models predicting BRTs to silent failures of automation are lacking but are important for assessing the safety benefits of automated driving. Method: Two alternative models of driver response to silent ACC failures are proposed: a looming prediction model, assuming that drivers embody a generative model of ACC, and a lower gain model, assuming that drivers’ arousal decreases due to monitoring of the automated system. Predictions of BRTs issued by the models were tested using a driving simulator study. Results: The driving simulator study confirmed the predictions of the models: (a) BRTs were significantly shorter with an increase in kinematic criticality, both during driving with CC and during driving with ACC; (b) BRTs were significantly delayed when driving with ACC compared with driving with CC. However, the predicted BRTs were longer than the ones observed, entailing a fitting of the models to the data from the study. Conclusion: Both the looming prediction model and the lower gain model predict well the BRTs for the ACC driving condition. However, the looming prediction model has the advantage of being able to predict average BRTs using the exact same parameters as the model fitted to the CC driving data. Application: Knowledge resulting from this research can be helpful for assessing the safety benefits of automated driving.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Lehtonen, Esko,1981Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)eskol (författare)
  • Forcolin, Fabio,1991Volvo Group,Volvo Group Trucks Technology (författare)
  • Engström, Johan A Skifs,1973Virginia Polytechnic Institute and State University (Virginia Tech),Virginia Tech Transportation Institute(Swepub:cth)engjoh (författare)
  • Albers, Deike,1994Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)deike (författare)
  • Markkula, Gustav M,1978University of Leeds(Swepub:cth)f98guma (författare)
  • Lodin, Johan,1981Volvo Group,University of Leeds(Swepub:cth)lodin (författare)
  • Sandin, Jesper,1975Statens väg- och transportforskningsinstitut,Förare och fordon, FOF(Swepub:vti)jesper.sandin@vti.se (författare)
  • Chalmers tekniska högskolaChalmers University of Technology (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:Human FactorsChalmers University of Technology, Gothenburg, Sweden.; Volvo Group Trucks Technology, Gothenburg, Sweden.; Virginia Tech Transportation Institute, Blacksburg, USA.; University of Leeds, UK.; VTI, Gothenburg, Sweden. : SAGE Publications62:7, s. 1212-12291547-81810018-7208

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