Prediction of road accidents using Fuzzy Method
Document Type : Original Article
Authors
1 M.Sc.,Gard., Civil Engineering, Faculty of Engineering, Birjand Azad University, Birjand, Iran.
2 Civil Engineering, Faculty of Engineering, Birjand Azad University, Birjand, Iran
10.22034/road.2021.113820
Abstract
With the increase in road transport in Iran, accidental damage has also increased dramatically. If accurate predictions are made using appropriate techniques, the percentage of actual and effective factors to improve the conditions of the accident can be determined. This research has been done using fuzzy logic in MATLAB software, and a detailed analysis of the data has been done and then the results have been obtained. The proposed model consists of three inputs, an inference engine in the fuzzy method and the output. In the first stage, six variables were considered as inputs: longitudinal slope, velocity, shoulder path, subterranean intersection, arc radius, gap gap. These factors are considered with the greatest impact on road accidents. The next stage of the accidental points was considered as the output, and in the third step, for the inference engine, the rules were written descriptively. Finally, the results are compared with the actual statistics. To be This approach will enable prediction of accidents in the coming year and determine the best method for modifying the components to minimize road accidents. The selected method is implemented and evaluated case by case in Birjand axis. . The results suggest that the proposed inference framework will be able to detect accident patterns and predict the severity of road accidents, thereby choosing the best option and priority for repair, repair and maintenance.
Keywords
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