چكيده لاتين
Increasing the tonnage and frequency of cargo passing through the lines has increased the deterioration of the railway lines. As a result, one of the problems and challenges facing the railway industry is the deterioration and destruction of infrastructure. The construction and operation of railways requires a lot of money. However, due to the many benefits of rail systems for the economy and society of a country, this industry is considered as a national asset.
Therefore, in order to maintain this national capital, it is necessary to formulate coherent and purposeful plans for the construction, operation and maintenance of lines. In the meantime, overhaul and annual maintenance of railways as a preventive action is extremely important. This study examines the factors affecting the railway infrastructure such as geometric parameters, traffic and environmental aspects and finally, by developing a suitable deterioration model of railway lines, provides the basis for the optimal use of this infrastructure.
In order to express the condition of the line and interpret the trend of line degradation, four ITGI, OTGI, TGI and J indicators were selected from the quality indicators of the line. After reviewing a large number of articles related to the deterioration of railways, the most efficient and widely used methods were identified and selected to solve this research, which include neural network, support vector machine, decision tree, CRT and regression. As a result, five solution scenarios were implemented for each index.
The information used in these scenarios is the output data of the line measuring machine related to the north-east axis (1) of the country. 70% of the data were used in model construction, 15% in evaluation and the remaining 15% were used for model validation. By comparing the evaluation and validation results, the accuracy and percentage of performance of the models were obtained, which is a good criterion for comparing them with each other.
Finally, the OTGI index performed better than other scenarios by solving neural networks. Another approach of this research is to perform sensitivity analysis for each scenario, which determined the effect of the parameters. Considering the totality of scenarios, among the 9 input parameters, three parameters of distance, line width and horizontal alignment of the left rail have the greatest impact on the condition of the railway lines.
