COMPUTER PROGRAM FOR RECONSTRUCTION OF HIGHWAY ACCIDENTS
The simulation model of automobile collisions (SMAC) computer program has been developed for the purpose of achieving unfiromity in the use of analytical techniques for interpreatation of physical envidence in investigations of highway accidents. The comprehensive output information of the SMAC program (kinematics, tire tracks, and vehicle damage) permits extensive, detailed comparisons with physical evidence in the iterative runs used to achieve a "best fit," and the predicted vehicle responses provide a basis for relatively refined categorization occupant exposures. The generality included in the inputs of the SMAC program permits approximation of the effects of driver control inputs, damage to vehicle running gear, and traversal of terrain zones with different friction properties. The analytical approach is outlined, and specific assumptions are defined. Comparisons are presented between analytical predictions and results of staged collisions. In one of the presented applications to a staged collision, the initial conditions were kept unknown until completion of the reconstruction process. Results of sample applications to actual highway accidents are included. Computer graphics displays of reconstructed accidents, including rest positions, tracks, and damage, are presented. (A) This paper is published as SAE Paper No. 730980. The number of the covering abstract of the conference is IRRD Abstract No. 211194.
- Proceedings of the 17th Stapp Car Crash Conference, November 12-13, 1973, Oklahoma City, Oklahoma.
Warrendale, PA USA 15096
- MCHENRY, R R
- Publication Date: 1973-4
- Features: Figures; Photos; References; Tables;
- TRT Terms: Collisions; Computer graphics; Computer programs; Crash injury research; Loss and damage; Research; Simulation; Traffic crashes
- Subject Areas: Highways; Research; Safety and Human Factors;
- Accession Number: 00133505
- Record Type: Publication
- Report/Paper Numbers: SAE #730980
- Files: TRIS
- Created Date: Aug 3 1976 12:00AM