A base accident rate, also known as expected value, allows safety engineers or planners to objectively determine whether an accident pattern at a study location is significantly higher than the same accident pattern at other locations with similar geometric, traffic, and environmental factors. This study was conducted to develop base accident rates for rural highway at non-intersections in Ohio using all the available data from Ohio Department of Transportation's database. Using a random sampling technique, 30% of the data for each of the 12 districts was extracted and a comprehensive database was created for each district. Then, the highway sections were generally divided into uniform segments of length 0.25 mile. For each highway segment, population density data within one-mile radius was generated. Additional data, namely number of residential and business driveways, number of passing zones, horizontal and vertical curves, and guardrail length were manually recorded using photolog discs. A master database was created for each district using the above-mentioned data. The base accident rates were developed for ten accident types namely, (I) Total accidents (II) Injury accidents, (III) PDO accidents, (IV) Fixed-Object accidents, (V) Sideswipe accidents, (VI) Rear-End accidents, (VII) Left-Turn accidents, (VIII) Right-Angle accidents, (IX) Wet Pavement accidents, and (XI) Night accidents.
Rational Schedule of Base Accident Rates for Rural Highways in Ohio (Phase II)
2003
198 pages
Report
Keine Angabe
Englisch
Transportation Safety , Road Transportation , Transportation & Traffic Planning , Transportation , Ohio , Rural highways , Accident rates , Mathematical models , Methodology , Expert systems , Regression analysis , Density , Data collection , Data analysis , Accident types , Rear end collisions , Turning , Wet pavements , Night driving , Side impact collisions , Roadside hazards , Vehicle fixed object collisions , Computer codes , JAVA programming language , RITA(Rural Highway Safety Advisor) , Expected values
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