ACCIDENT MODEL OF THE TRAFFIC MIX: USE OF VEHICLE MILES TO PREDICT ACCIDENTS

Information on vehicle miles of travel for any two classes of vehicles (e.g., cars versus trucks or vehicles with drunk drivers versus vehicles with nondrunk drivers) can be used together with accident frequency to develop an accident prediction model based on the mix of traffic on roadways. As an illustration, a model was developed to predict the proportion of many possible accident configurations involving cars and trucks (single-car accidents, car-truck accidents, etc.), taking into account the effect of environmental factors such as road class and time of day. Extension of this model to include any number of factors other than road class and time of day is possible. Useful applications of the model include assessment of the relative highway safety of any two vehicle classes that may possess different accident characteristics, assessment of environmental factors that affect the highway safety of these vehicles, and quick input for evaluating policy options concerning the use of certain types of vehicles. (Author)

Media Info

  • Media Type: Print
  • Features: References;
  • Pagination: pp 27-29
  • Monograph Title: TRAFFIC RECORDS, ACCIDENT ANALYSIS, AND TRAFFIC LAW ENFORCEMENT
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00379906
  • Record Type: Publication
  • ISBN: 030903552X
  • Report/Paper Numbers: HS-036 467
  • Files: HSL, TRIS, TRB
  • Created Date: Feb 29 1984 12:00AM