Abstract:

In parallel with the increasing population of the world, the need for passenger and freight transportation is also increasing. The increase in transportation demands has led to the expansion of existing road networks and an increase in transportation types. According to the World Health Organization data, more than one million people die every year in the world as a result of traffic accidents. Traffic safety is provided by the traffic units of the Gendarmerie and Police organizations. Police are responsible for urban traffic services and gendarmerie traffic teams are responsible for out-of-city traffic services. Since the gendarmerie organization works in the provinces and the traffic flow varies according to the city center, the reasons for the accident will also vary. Traffic accidents with fatalities/injuries that occurred in the Gendarmerie traffic responsibility area between 2015-2019 were analyzed with the association rules, which is one of the data mining methods. Association rules are also used in accident analysis to determine which variables come together and the accident occurs. In order to create association rules, the Apriori algorithm, which gives successful results in accident analysis in the literature, was used. Using the Apriori algorithm, rules were created in order to reveal in which situations the accidents were more frequent. When the drivers involved in the accidents were examined, it was determined that there were male car users between the ages of 25-50.

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