Methods of Detection of Temperature Factors Affecting Traffic Safety of Railway Transportation and Risk Analysis

Abstract

The article is dedicated to the investigation of internal and external factors affecting traffic safety of railway transport, including researching and solving ever-present issue of investigating, reducing and eliminating human factors, emergency situations and other impacts through complex methods and means. The technical state of wagons, one of the important components for traffic safety in railway transport, methods and means of detecting faults during their diagnostics, and making right decisions according to the situation are investigated. Diagnostics of the state of wagons is carried out through the method of remote measurement at measuring points installed at certain distances with a certain rule. At measuring points, the temperatures of tire boxes are investigated according to the normal limits, and risk status is assessed according to the comparison results. Accuracy and stability of diagnostics are very important for safe operation. In order to make right decisions, assessment of measurement errors of temperature factors, performing self-monitoring and correction, execution of the algorithm based on repeated measurements and points, carrying out comparison with norm limits, and making decisions provided that they are confirmed are presented. Based on Fuzzy Logic in Matlab environment, assessment of processing risks and suitable combinations are presented.