The development of local calibration factors for implementing the highway safety manual in Maryland.

Details

• Creators:
  Shin, Hyeonshic ; Lee, Young-Jae ; Dadvar, Seyedehsan
• Corporate Creators:
  Morgan State University
• Corporate Contributors:
  United States. Department of Transportation. Research and Innovative Technology Administration
• Subject/TRT Terms:
  • Highway safety
  • Traffic crashes
  • Fatalities
  • Crash data
  • Computer models
  • Mathematical prediction
  • Calibration
  • Data collection
  • Sampling
• Publication/ Report Number:
  MD-14-SP209B4J
• Resource Type:
  Tech Report
• Geographical Coverage:
  Maryland
• Corporate Publisher:
  Maryland. State Highway Administration
• Abstract:
  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 SHA and Baltimore City was not part of this study.
  More +
• Format:
  PDF
• Funding:
  SP209B4J
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/27128/dot_27128_DS1.pdf
• File Type:
  [PDF - 7.82 MB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:f8d7a7a73693889adb3c56607c01a7e6c74c05a8dc73d937e283254991ca60825573e357c8d59f63898f23cd1082342f91f6a2da4c42ab5cc7a37d4278e74126