BAYESIAN IDENTIFICATION OF HAZARDOUS LOCATIONS (WITH DISCUSSION AND CLOSURE)
A Bayesian analysis of accident data is used in the identification of hazardous locations. The Bayesian model used in the analysis is developed and discussed. Empirical comparisons of the results from the Bayesian analysis and from classical statistical analyses are also included. These comparisons suggest that there is an appreciable difference among the various identification techniques and that some classically based statistical techniques may be prone to err in the direction of false negatives.
- Record URL:
- Summary URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/0309047528
-
Supplemental Notes:
- This paper appears in Transportation Research Record No. 1185, Methods for Evaluating Highway Improvements. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved
-
Authors:
- Higle, Julia L
- Witkowski, James M
-
Discussers:
- Morris, Carl N
- Pendleton, Olga J
- Quaye, Emmanuel
- Publication Date: 1988
Media Info
- Features: Figures; References; Tables;
- Pagination: p. 24-36
- Monograph Title: Methods for evaluating highway improvements
-
Serial:
- Transportation Research Record
- Issue Number: 1185
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Alternatives analysis; Bayes' theorem; Data analysis; Errors; High risk locations; Identification systems; Mathematical analysis; Mathematical models; Statistical analysis
- Uncontrolled Terms: Identification
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors; I73: Traffic Control; I80: Accident Studies;
Filing Info
- Accession Number: 00488070
- Record Type: Publication
- ISBN: 0309047528
- Files: TRIS, TRB
- Created Date: Sep 30 1989 12:00AM