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Driver behavior models for evaluating automotive active safety: From neural dynamics to vehicle dynamics

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Academic year: 2021

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Figure

Figure 1.1: Illustration of how two active safety systems could prevent crashes (the red trajectories ending in circles) in a rear-end conflict scenario
Figure 1.2: Illustrations of key concepts of the conceptual framework of Ljung Aust and Engstr¨ om, in a hypothetical scenario where a driver perceives a drop in road friction, and thus reduces vehicle speed to avoid experiencing feelings of discomfort
Figure 2.1: Schematic illustrations of (a) a hypothetical effect of two Driver-Vehicle- Driver-Vehicle-Environment (DVE) parameters on a driver behavior variable Y, (b) behavioral variability from an uncontrolled DVE parameter, and (c) behavioral variabili
Figure 2.3: (a) Cumulative steering reaction times after lead vehicle brake light onset in the unexpected scenario, up to the observed proportions of drivers applying steering, with least-squares fit of distributions (log-normal, as is often found suitable
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