"How Long Does It Take to Stop?" Methodological Analysis of Driver Perception-Brake Times

By Marc Green. 2000

912 citations recorded by the source corpus.

Subfields: Safety, Risk, Reliability and Quality, Social Psychology

View Paper: https://www.semanticscholar.org/paper/e74a11f76889544fdb18a5b1e08f952baa29120a

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In Safety, Risk, Reliability and Quality

In Social Psychology

Citations in the corpus

Multisensory warning signals for event perception and safe driving (2008, background): “…and tactile signals are inherently more alerting than visual stimuli (e.g. Geldard 1960, Gilmer 1961, Posner et al. 1976, Campbell et al. 1996, Green 2000); (4) auditory and tactile signals are particularly good at capturing attention (e.g. Geldard 1960, Gilmer 1961, Hawkes and Loeb 1961,…”
Delays, inaccuracies and anticipation in microscopic traffic models (2004, background): “3 s, which is below the reaction time of even a very attentive driver by a factor of at least 2-3 [19].”
Clustering-Based Multichannel MAC Protocols for QoS Provisionings Over Vehicular Ad Hoc Networks (2007, background): “Research states that the driver reaction time to traffic warning signals, such as brake lights, can be on the order of 700 ms and longer [13].”
Adaptive cruise control design for active congestion avoidance (2008, background): “Let us now consider the travel time as the most important variable of an user-oriented measure of the quality of service (Hall et al., 2000).”
Calibrating Car-Following Models by Using Trajectory Data (2008, background): “Furthermore, the negligible influence of the reaction time as an explanatory variable can be interpreted in the way the human drivers are able to compensate for their considerable reaction time, which is about 1 s (16), by anticipation, because of driving experience.”
Modeling drivers' visual attention allocation while interacting with in-vehicle technologies. (2006, background): “When drivers were looking at the roadway, they responded to the hazard in 1.25 seconds, on average—a value that is consistent for unexpected, surprise events (Green, 2000).”