INVESTIGATION OF ACCIDENT DATA FOR RAILROAD-HIGHWAY GRADE CROSSINGS
This paper discusses some of the results of investigations of railroad-highway accidents and accident-related inventory information that was collected from 15 states and three railroad companies. Statistical techniques were applied to tabulated data to obtain prediction equations for accident frequency and severity of various grade-crossing situations. The results of the analysis and the uses of prediction equations for the development of warrants for safety improvements are also discussed. /Author/
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Supplemental Notes:
- Publication of this paper sponsored by Committee on Railroad Highway Grade Crossings. 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
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Authors:
- Coleman, Janet
- Stewart, Gerald R
- Publication Date: 1976
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 60-67
- Monograph Title: Railroad-highway crossings, visibility, and human factors
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Serial:
- Transportation Research Record
- Issue Number: 611
- Publisher: Transportation Research Board
- ISSN: 0361-1981
Subject/Index Terms
- TRT Terms: Crash analysis; Crash data; Crash investigation; Crash risk forecasting; Crash severity; Crashes; Equations; Forecasting; Highway safety; Inventory; Railroad grade crossings; Risk assessment; Safety; Statistical analysis; Statistics; Tables (Data); Traffic crashes; Warrants (Traffic control devices)
- Old TRIS Terms: Grade crossing accidents
- Subject Areas: Data and Information Technology; Freight Transportation; Highways; Railroads; Safety and Human Factors;
Filing Info
- Accession Number: 00163048
- Record Type: Publication
- ISBN: 0309025877
- Report/Paper Numbers: HS-021 004
- Files: TRIS, TRB
- Created Date: Oct 13 1977 12:00AM