Using graphical Markov models and Gibbs sampling to reconstruct vehicle/pedestrian accidents.

Author(s)
Davis, G.A.
Year
Abstract

This paper illustrates how a statistical simulation technique called Gibbs Sampling can be applied to data commonly collected in the investigation of vehicle/pedestrian accidents, producing Bayes estimates of the vehicle's initial speed and location at the point of perception. A general discussion of how Bayesian reasoning applies to accident reconstruction is first presented, followed by a description of the collision model. The approach is then applied to the reconstruction of two accidents. (A)

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Publication

Library number
C 18521 (In: C 18505 S) /82 / ITRD E204762
Source

In: Proceedings of the conference `Traffic safety on two continents', Malmö, Sweden, September 20-22, 1999, VTI Konferens No. 13A, Part 5, p. 211-220, 24 ref.

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