An Evaluation of the Parameters Affecting Road Accident in Iran, with Application of ANN method

Accidents are considered to be as one of the biggest public health problems in the world. This problem is even more severe as most of the victims are young and healthy which causes asocial trauma. The ascending trend of victims in the country, with an increasing number of fatalities/injuries and increasing number of journey becomes more apparent. This would require investigating the parameters affecting the road accident in order to reduce the injuries and fatalities the research fallows a methodology aiming to investigate and identify the contributing factors in traffic accidents over the past decade. Various factors such as human, environmental, road and vehicle involved are among the main parameters investigated, showing that the rescue station can be very effective on attending the accident site for rescue. This paper uses the technique of artificial neural networks (ANN) to examine the factors affecting road accidents in 1379 to 1388. The method of using neural networks in this study is MLP approach or multilayer perceptron. Results showed that the neural network has better performance than other models previously fit and is able to give an accurate prediction of road accidents.