Predicting Causes of Traffic Road Accidents Using Multi- class Support Vector Machines
نویسنده
چکیده
Road traffic accidents have caused a myriad of problems for many countries, ranging from untimely loss of loved ones to disability and disruption of work. In many cases, when a road traffic accident occurs that results in the death of both drivers of the vehicles involved in the accident, there are some difficulties in identifying the cause of the accident and the driver who committed the accident. There is a need for methods to identify the cause of road traffic accidents in the absence of eyewitnesses or when there is a dispute between those who are involved in the accident. This paper attempts to predict the causes of road accidents based on real data collected from the police department in Dubai, United Arab Emirates. Data mining techniques were used to predict the causes of road accidents. Results obtained have shown that the model can predict the cause of road accidents with accuracy greater than 75%. Keywords—component; road traffic accident, data mining, multi-class SVMs
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