HSIS Summary Report
Jun Wang, Warren E. Hughes, and Richard Stewart
Jun-97
This study examined the effects of various cross-section-related design elements on crash frequency and developed a crash prediction model for rural, multilane, non-freeway highways. According to the Poisson model that was developed, predicted crashes increase as a result of worsening roadside conditions, increasing exposure measures, increasing numbers of driveways per mile, and increasing intersections per mile. Predicted crashes decrease as a result of increasing outside shoulder widths and increasing median widths. The model also shows lower crash frequencies on multilane roads with partial access control compared to roads with no access control. This model can be used for a variety of applications, such as: (1) predicting crashes for different highway design alternatives; (2) estimating crash reductions attributed to changes in cross sections; and (3) assessing the potential safety impacts of upgrading a two-lane rural road to a multilane rural highway. A poisson regression model was used to model the relationship between expected accident frequency and various roadway and traffic variables, The study results establish a quantitative relationship between accident frequency and various cross-section-related roadway design elements on rural, multi-lane, non-freeway highways.
Safety Effects of Cross-Section Design on Rural Multilane Highways
Crash prediction model
Rural multilane highways
Cross section
HSIS
HSIS Summary Reports are two to eight pages in length and include a brief description of the issue addressed, data used, methodology applied, significant results, and practical implications.
A variety of research studies have been performed using data from HSIS. Many of the final reports prepared are now available electronically.
Research reports are often summarized in executive summaries, technical briefs, or other abbreviated formats. Included here are those road safety summaries that involved research using HSIS data.
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