Analyzing Traffic Accidents Using Data Mining Algorithm for Past Ten Years in Sulaymaniyah City, Iraq

Road traffic accidents are events that involve the collision of motor vehicles with other vehicles, pedestrians, animals, or objects. They can cause serious physical, financial, and emotional harm to all involved. The most common causes of accidents are distracted driving, driving under the influence, excessive speed, and poor road conditions. To reduce the number of road accidents, governments, and other organizations have implemented numerous safety measures, including improved education, tougher laws, and improved infrastructure. Other preventative measures include the use of technology, such as autonomous vehicles and smart roadways, as well as the development of new safety features in cars. The source of our data set is referred Sulamaniyah Traffic Directorate, the used algorithm is K-mean clustering to analyze the accident numbers in the city of Sulaymaniyah for ten years.