A Regression Model for Predicting Automobile Crashworthiness.

Abstract

A stepwise regression analysis of automobile crashworthiness is developed. A sample of four hundred eleven Texas accidents were used in which the drive mix was held constant and all other factors were randomized. Nine predictor variables (length, width, weight, height, steering ratio, wheelbase, wheel stance, brake horsepower and brake area) were considered. Using regression analysis, a final equation utilizing these independent variables and explaining eleven percent of the variance in the dependent variable, was obtained for car body damage cost.

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1971
Accession Number
AD0747669

Entities

People

  • Charles Warren Kramer

Organizations

  • United States Army Materiel Command

Tags

DTIC Thesaurus Topics

  • Accidents
  • Automobiles
  • Crashworthiness
  • Data Science
  • Equations
  • Horsepower
  • Information Science
  • Mathematics
  • Regression Analysis
  • Steering

Readers

  • Aviation Safety Risk Assessment.
  • Logistics and Supply Chain Management.
  • Regression Analysis.