Towards a general theory of driver behaviour.
By Ray Fuller. Accident Analysis and Prevention, 2005
879 citations recorded by the source corpus.
Subfields: Safety, Risk, Reliability and Quality, Social Psychology, Transportation
View Paper: https://www.semanticscholar.org/paper/1f57b4ebee709104b762d1080b95191f19fd9c84
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Safety, Risk, Reliability and Quality
- J. D. de Winter
- Riender Happee
- Brady Michael Kuhl
- Neville A Stanton
- Thomas Franke
- Patricia Delhomme
- Josef F. Krems
- William Payre
In Social Psychology
- J. D. de Winter
- Riender Happee
- Thomas Franke
- Josef F. Krems
- Brady Michael Kuhl
- Neville A Stanton
- Patricia Delhomme
- William Payre
In Transportation
Citations in the corpus
- Risky Action Recognition in Lane Change Video Clips using Deep Spatiotemporal Networks with Segmentation Mask Transfer (2019, neutral): “drivers, was studied as an alternative [13].”
- Towards Understanding Motivational and Emotional Factors in Driver Behaviour: Comfort Through Satisficing (2007, background): “However, when the presentation speed increased, the threshold where the estimated crash risk deviated from zero obviously equalled to the threshold for not being able to manage at higher speed: '95% of the sample would be uncomfortable driving at a speed at which there was some estimated risk of cra”
- Interacting with limited mobility resources: Psychological range levels in electric vehicle use (2013, background): “Conceptions of task difficulty and risk homeostasis are well documented (Fuller, 2005) and fit into the control framework, which we posit is the basis for user–range interaction.”
- Understanding charging behaviour of electric vehicle users (2013, background): “While comfortable range is similar to the concept of a preferred safety margin or level of accepted task difficulty (Fuller, 2005) that determines how a situation is appraised; UBIS is a preferred decisional style that either (a) orients the user to a specific safety margin and causes the user to no”
- Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence (2014, background): “, 2010; Oberholtzer et al., 2007). Neubauer, Matthews, Saxby, and Langheim (2011) found that fatigued drivers were more likely to enable HAD.”
- Mobility in older adults: a comprehensive framework. (2010, background): “Similar factors were included in the theory of driver behavior proposed by Fuller (2005), which involves driving task demands and driver capabilities (e.g., physical, cognitive, and psychological characteristics) and recognizes that environmental factors, compensatory strategies, and driver…”
- Intention to use a fully automated car: attitudes and a priori acceptability (2014, methodology): “Behavioral adaptation using ADAS or different levels of automated driving could be explained by the will to maintain a certain level of task difficulty (Fuller, 2005).”