An Accident Prediction Model for Fatalities in Rural Areas
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Abstract:
The annual number of people who lose their lives in traffic accidents is considerable, and in Iran, the ninth most common cause of death in traffic accidents is the second overall leading cause of death; a premise that has been considered in this paper. The parameters that many researchers around the world consider to be the most influential factors in these accidents, whether they occur in urban or suburban areas, are age and gender. The current research uses data on the number of people killed in suburban road accidents in the last few months of each year, and uses statistical methods to predict the number of fatalities in the forthcoming months. The aim of this study is to assess whether the strategies adopted by the appropriate authorities to increase safety and reduce accidents and casualties are effective. The results of past and future projections indicate that Iran has been able to provide solutions to the relevant authorities based on logical steps, and at least several months have proven sensitive to these predictions. A consolidation period is the next step. These decisions are not efficient in the case of a standing figure located upwards of a dip, and it is still very worrying that outcomes regarding these types of accidents are usually not favourable.
Language:
Persian
Published:
Traffic Management Studies, Volume:6 Issue: 23, 2012
Page:
29
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