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DRAG is a complex computer model that simulates accident propensities under detailed conditions. In applying flexible mathematical forms, the DRAG model also allows significant conceptual and empirical claims to be made about the importance of detecting responses that reverse themselves. This work explains its nature, purpose and value.
Table des matières
Part and chapter headings: National and Regional Models. Multiple Levels, Damages, Forms, Movements and Variables in Road Accident Models (M. Gaudry). The DRAG-2 Model for Quebec (F. Fournier, R. Simard). The SNUS-2.5 Model for Germany (U. Blum, M. Gaudry). The TRULS-1 Model for Norway (L. Fridstrom). The DRAG-Stockholm-2 Model (G. Tegner et al.). The TAG-1 Model for France (L. Jaeger, S. Lassarre). The TRACS-CA Model for California (P. McCarthy). Comparing Six DRAG-Type Models (N. Chambron). Other Models and Issues. The Road, Risk, Uncertainty and Speed (M. Gaudry, K. Vernier). The RES Model by Road Type in France (R. Bergel, B. Girard). PostFACE and Perspectives (S. Lassarre). Algorithms and Detailed Model Outputs. TRIO Level-1.5 Algorithm for BC-GAUHESEQ Regression (T. Liem et al.). The IRPOSKML Procedure of Estimation (L. Fridstrom). Appendix 1. Detailed Model Outputs (M. Gaudry, S. Lassarre).
Résumé
DRAG is a complex computer model that simulates accident propensities under detailed conditions. In applying flexible mathematical forms, the DRAG model also allows significant conceptual and empirical claims to be made about the importance of detecting responses that reverse themselves. This work explains its nature, purpose and value.
