Road traffic accidents (RTAs) are a major public
health concern, resulting in an estimated 1.2 million
deaths and 50 million injuries worldwide each year.
In the developing world, RTAs are among the leading
cause of death and injury; Ethiopia in particular
experiences the highest rate of such accidents. Thus,
methods to reduce accident severity are of great
interest to traffic agencies and the public at large. In
this work, we applied data mining technologies to link
recorded road characteristics to accident severity in
Ethiopia, and developed a set of rules that could be
used by the Ethiopian Traffic Agency to improve
safety.