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How Do Drivers Resp...
How Do Drivers Respond to Silent Automation Failures? Driving Simulator Study and Comparison of Computational Driver Braking Models
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- Bianchi Piccinini, Giulio, 1982 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Lehtonen, Esko, 1981 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Forcolin, Fabio, 1991 (författare)
- Volvo Group,Volvo Group Trucks Technology
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- Engström, Johan A Skifs, 1973 (författare)
- Virginia Polytechnic Institute and State University (Virginia Tech),Virginia Tech Transportation Institute
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- Albers, Deike, 1994 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Markkula, Gustav M, 1978 (författare)
- University of Leeds
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- Lodin, Johan, 1981 (författare)
- Volvo Group,University of Leeds
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- Sandin, Jesper, 1975 (författare)
- Statens väg- och transportforskningsinstitut,Förare och fordon, FOF
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(creator_code:org_t)
- 2019-10-07
- 2020
- Engelska.
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Ingår i: Human Factors. - 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. - 1547-8181 .- 0018-7208. ; 62:7, s. 1212-1229
- Relaterad länk:
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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
- TEKNIK OCH TEKNOLOGIER -- Samhällsbyggnadsteknik -- Transportteknik och logistik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Civil Engineering -- Transport Systems and Logistics (hsv//eng)
- SAMHÄLLSVETENSKAP -- Psykologi (hsv//swe)
- SOCIAL SCIENCES -- Psychology (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Annan teknik -- Övrig annan teknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Other Engineering and Technologies -- Other Engineering and Technologies not elsewhere specified (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Farkostteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Vehicle Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Arbetsmedicin och miljömedicin (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Occupational Health and Environmental Health (hsv//eng)
Nyckelord
- autonomous driving
- visual looming
- cruise control
- driver models
- adaptive cruise control
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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Till lärosätets databas
- Av författaren/redakt...
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Bianchi Piccinin ...
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Lehtonen, Esko, ...
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Forcolin, Fabio, ...
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Engström, Johan ...
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Albers, Deike, 1 ...
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Markkula, Gustav ...
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Lodin, Johan, 19 ...
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Sandin, Jesper, ...
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- Om ämnet
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- TEKNIK OCH TEKNOLOGIER
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TEKNIK OCH TEKNO ...
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och Samhällsbyggnads ...
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och Transportteknik ...
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- SAMHÄLLSVETENSKAP
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SAMHÄLLSVETENSKA ...
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och Psykologi
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- TEKNIK OCH TEKNOLOGIER
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TEKNIK OCH TEKNO ...
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och Annan teknik
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och Övrig annan tekn ...
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- TEKNIK OCH TEKNOLOGIER
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TEKNIK OCH TEKNO ...
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och Maskinteknik
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och Farkostteknik
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- TEKNIK OCH TEKNOLOGIER
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TEKNIK OCH TEKNO ...
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och Elektroteknik oc ...
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och Reglerteknik
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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och Hälsovetenskap
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och Arbetsmedicin oc ...
- Artiklar i publikationen
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Human Factors
- Av lärosätet
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Chalmers tekniska högskola
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VTI - Statens väg- och transportforskningsinstitut