EVU XXIV 2015-10 Melcher et al – Photogrammatic Reconstruction methodology and engineering validation for video-captured pedestrian collisions
methodology and engineering validation
for video-captured pedestrian collisions
Daniel J. Melcher, Thomas N. Rush, Jay J. Przybyla, Rachel E. Keller,
and Paul E. Montalbano
Most empirical methodologies for correlating vehicle speed with pedestrian throw-distance
have historically been developed and validated primarily with cadaver and dummy testing.
In order to rigorously validate empirical and statistical modelling, it is desirable to expand
the body of knowledge in the collision reconstruction community by including the results of
actual vehicle-pedestrian collision events into these data sets. This paper discusses a
methodology which can be used to expand the existing knowledge base about pedestrian
collisions, and can also be used to reconstruct individual collision events and develop
effective passive pedestrian avoidance technology.
Video-captured vehicle-pedestrian collision events provide a unique opportunity to gather
data related to point of impact, point of final rest, vehicle speed, pedestrian speed, impact
configuration, pedestrian response to an impending collision, and driver response to an
impending collision. By applying a rigorous methodology for extracting critical information
from video footage of vehicle-pedestrian collision events and combining it with traditional
accident reconstruction diagrammatic and physics approaches, the reconstructionist can
complete a full evaluation of the sequence, paths, speeds, distances, times, lines-of-sight,
and avoidance capabilities for involved vehicles and pedestrians.
This paper will present the raw data for 6 video-captured vehicle-pedestrian collision
events for incorporation into existing analysis frameworks, and will demonstrate that they
further validate the empirical reconstruction methodologies that have been presented
previously in the literature.
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|Daniel J. Melcher, Thomas N. Rush, Jay J. Przybyla, Rachel E. Keller, and Paul E. Montalbano