Accident Severity Estimation from Environmental Factors with the Proposed Dataset Separation Method

Traffic accidents can be thought of as being the whole combination events that usually occur due to reasons caused by humans, vehicles, roadway, and environment, which are basic elements transportation, these most likely result in injuries, death, huge financial damage. In this study, making use a dataset, received from New Zealand Transportation Agency, it is estimated whether or not traffic occurring on roads end up with minor serious Predictions made exploiting machine learning algorithms. A new method has been proposed for separating dataset classification success results way gave successful scores 89%. Based high performance rates, shown such methods used assist preventing possible