Click on “Download PDF” for the PDF version or on the title for the HTML version.
If you are not an ASABE member or if your employer has not arranged for access to the full-text, Click here for options.
Identification of High Accident Locations involving Farm Equipment on Public Roads and Similarities Among Those Locations
Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org
Citation: Paper number 131620600, 2013 Kansas City, Missouri, July 21 - July 24, 2013. (doi: http://dx.doi.org/10.13031/aim.20131620600) @2013
Authors: Harlin G Wilkin, Sandy A Mehlhorn
Keywords: GIS safety farm safety crashes accident data
Abstract. The increased safety of farm equipment on public roadways has been the topic of much research for several years. With more farm equipment traveling on roadways at increased speeds, it will continue to be an important topic for research. The objective of this research project is to locate areas with high accident rates involving farm equipment (excluding other slow moving vehicles). Then, from this information, identify similarities, if any, within those locations. The primary geographical location of research will be Northwest Tennessee. Data collected from public accident report records obtained from the Tennessee Highway Patrol was entered into a Geographic Information System (GIS) database, so high accident locations could be identified. After locations were identified, physical data was gathered concerning the locations, such as number of lanes, presence of a shoulder, presence of equipment warning signs, and other roadway information. Information contained within the public accident records was also considered, such as time of day, weather conditions, and severity of the accident. The goal of the research was to identify locations that have a high rate of accidents involving farm equipment, identify similarities within those locations, suggest preventative measures for the locations that may not currently be in use, and provide characteristics to help identify similar sites to prevent future farm implement accidents.
(Download PDF) (Export to EndNotes)