The Development of Local Calibration Factors for Implementing the Highway Safety Manual in Maryland

The goal of the study was to determine local calibration factors (LCFs) to adjust predicted motor vehicle traffic crashes for the Maryland-specific application of the Highway Safety Manual (HSM). Since HSM predictive models were developed using data from states other than Maryland, the predictive models should be calibrated. LCFs for all 18 facility types were calculated using Maryland data. After data collection and compilation, samples were drawn based on 90% confidence level, which increased the overall sample size. After the comparison between HSM default crash proportion and Maryland specific data, the use of the Maryland data was suggested. In general, LCFs for all facilities were less than 1.0, implying Maryland had fewer crashes than predicted crashes estimated by HSM crash prediction methodology. Especially, LCFs for intersections were extremely low. Due to potential issues with unreported minor and property damage only crashes, the authors recommend using LCFs for fatal and injuries crashes where available. The report concludes with a discussion on data limitation, thoughts about HSM sampling requirement, and suggestions for future research. It should be noted that this study only considered roadways maintained by Maryland State Highway Administration and Baltimore City was not part of this study.

• Record URL:
  http://www.roads.maryland.gov/OPR_Research/MD-14-SP209B4J_Local-Calibration-Factors-for-HSM_Report.pdf
• 
• Summary URL:
  http://www.roads.maryland.gov/OPR_Research/MD-14-SP209B4J_Local-Calibration-Factors-for-HSM_Summary.pdf
• Summary URL:
  https://rosap.ntl.bts.gov/view/dot/27129
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/27128
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  Morgan State University

  National Transportation Center, 1700 East Cold Spring Lane
  Baltimore, MD  United States  21251

  Maryland State Highway Administration

  Office of Traffic and Safety, 7491 Connelley Drive
  Hanover, MD  United States  21076

  Research and Innovative Technology Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Shin, Hyeonshic
  • Lee, Young-Jae
  • Dadvar, Seyedehsan
• Publication Date: 2014-3

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Appendices; Figures; References; Tables;
• Pagination: 134p

Subject/Index Terms

• TRT Terms: Calibration; Crash data; Data collection; Sampling; Traffic crashes
• Identifier Terms: Highway Safety Manual
• Geographic Terms: Maryland
• Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; I83: Accidents and the Human Factor;

Filing Info

• Accession Number: 01519393
• Record Type: Publication
• Report/Paper Numbers: MD-14-SP209B4J
• Contract Numbers: SP209B4J
• Files: UTC, NTL, TRIS, RITA, ATRI, USDOT, STATEDOT
• Created Date: Mar 24 2014 4:19PM