STATISTICAL ESTIMATION AND ACCIDENT PRONENESS

THE FIRST PART CONSISTS OF A REPORT ON MATHEMATICAL ATTEMPTS TO DESCRIBE ACCIDENT PRONENESS AND CALLS ATTENTION TO CERTAIN BASIC PROBLEMS WHICH HAVE IN GENERAL BEEN NEGLECTED. USING NEW DEFINITIONS WHICH ARE APPARENTLY NECESSARY, THE PAPER RECAPITULATES THE PRINCIPAL RESULTS OF THE MEAN TIME INTERVAL MODEL WHICH ATTEMPTS TO ESTIMATE INDIVIDUAL RESISTANCE TO ACCIDENTS BY USING THE MEAN TIME INTERVAL BETWEEN CONSECUTIVE ACCIDENTS DURING A FIXED OBSERVATION PERIOD. IT IS THEN PROPOSED TO ESTIMATE A PARAMETER CHARACTERIZING THE RESISTANCE AND AN ATTEMPT IS MADE TO SEE TO WHAT EXTENT THE MODEL CAN BE IMPROVED BY THE INTRODUCTION OF THE DEGREE OF RESPONSIBILITY AND OF THE COST OF THE ACCIDENT. /AUTHOR/

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00014575
• Supplemental Notes:
  • Vol 1, No 4, PP 333-341
• Authors:
  • Srour, D A
• Publication Date: 1969-12

Media Info

• Serial:
  • Accident Analysis & Prevention
  • Publisher: Elsevier
  • ISSN: 0001-4575
  • Serial URL: http://www.sciencedirect.com/science/journal/00014575

Subject/Index Terms

• TRT Terms: High risk drivers; Mathematical models; Statistical analysis
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors;

Filing Info

• Accession Number: 00220888
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 3 1970 12:00AM