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The data from a set of 45 reference cases, involving the collision of two generic automobile models, is presented as a basis for comparing collision algorithms used in motor vehicle accident investigation. The set was generated by the SMAC algorithm.

Lateral load balance may be important in some rollover incidents and may provide a measure that could relate to the pavement damage from unbalanced loading. Individual wheel loading was measured on 92 heavy trucks operating in western Oregon during 1995. This paper presents the analysis of those results in the form of distributions for various categories of wheel loads and for several unbalance measures. Unbalance was found to have approximately normal statistical distribution with the center of gravity off-set up to 4 inches from the vehicle center. For axle sets the center of gravity off-set was up to 7.5 inches.

A controlled experiment involving road marks was conducted to compare various photogrammetry practices currently in use in the accident investigation community. The experimental controls and results are discussed for three variations of one 2-D scheme and for six 3-D photogrammetric schemes applied to a similar set of road marks and points. For measurements related to the most frequent issues in traffic accidents, all of the methods are capable of providing usable data. The experimental photographs and corresponding data represent a reference set for developing skills and for comparison with other photogrammetry schemes.