Abstract
<div class="section abstract"><div class="htmlview paragraph">In traffic accidents, the run-out is the phase after impact until reaching a
final rest position. Analyzing and reconstructing this phase is a task leading
sometimes to a broad bandwidth of results. This can be due to the unknown
driver’s reaction and braking behavior. The well-known literature describes
rollout decelerations, but these exclude the influence of the driver,
particularly with regard to accident situations. Measurement data from
real-world collisions can help quantifying the vehicle’s deceleration during the
run-out and thus at least partially close the existing research gap. Therefore,
this study deals with the systematic evaluation of real-world measurement data
from intersection collisions collected by accident data recorders. The
high-frequency acceleration and speed data of 45 accident vehicles with impact
velocities up to 70 kph were processed for this purpose; characteristic values
for the run-out phase were calculated in each case and then statistically
evaluated. Results in terms of mean deceleration rates are presented as well as
conclusions about driver’s post-collision behavior. On the one hand, the data
reveal that it is extremely unlikely that a vehicle will not be actively braked
by the driver during run-out and, on the other hand, that braking with maximum
deceleration is also unlikely. The results indicate a mean resultant run-out
deceleration with respect to time of 4.5 m/s<sup>2</sup> and with respect to
distance of 4.1 m/s<sup>2</sup>. This means more intensive braking by human
drivers after a collision than typical deceleration in normal everyday driving
activities and is comparable to intervention of advanced driver-assistance
systems. These findings can assist the reconstructionist analyzing intersection
accidents in quantifying or narrowing down the level of deceleration of a
vehicle in run-out and for this reason the driver’s post-collision behavior.</div></div>
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