00756133

Component

https://doi.org/10.3141/1635-03

http://scholar.google.com...ared&publication_year=1998

Data collected from the states of Minnesota and Washington on rural two-lane highways are used to build accident models for segments and three-legged and four-legged intersections stop-controlled on the minor legs. The quantity, quality, and variety of data collected, together with the advanced techniques applied in the analysis, make this study of special interest. Variables include traffic, horizontal and vertical alignments, lane and shoulder widths, roadside hazard rating, channelization, and number of driveways. Models are of negative binomial and extended negative binomial form and yield R-squared values from 0.42 to 0.73 and overdispersion parameters from 0.20 to 0.51. A segment model combining both states including state as a variable, and intersection models derived from Minnesota data, are featured, along with summary statistics, goodness-of-fit measures, and cross-validation between the states. Segment accidents depend significantly on most of the roadway variables collected, while intersection accidents depend primarily on traffic. The study recommends development of adjustment factors for different regions and times and further development of extended negative binomial models.

This paper appears in Transportation Research Record No. 1635, Safety Analysis Related to Highway Design, Crash Costs, and Traffic Records Systems; Methodologies for Evaluating Safety Improvements.

English

p. 18-29

1998

Transportation Research Record

0309065070

Figures (2) ; References (17) ; Tables (5)

Adjustment factors; Alignment; Data collection; Driveways; Four leg intersections; Mathematical models; Road shoulders; Roadside hazards; Rural highways; T intersections; Traffic crashes; Traffic data; Traffic lanes; Two lane highways; Width

Channelization; Horizontal alignment; Lane width; Vertical alignment

Minnesota; Washington (State)

Minnesota; Washington (State)

Design; Highways; Safety and Human Factors; I82: Accidents and Transport Infrastructure

TRIS, TRB, ATRI

Nov 9 1998 12:00AM

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