Identification of rolling stock in railway transport management

Abstract

An important factor improving the safety of the railway transport process is the automatic recognition of the rolling stock and the transported loads. Using modern data acquisition and analysis techniques allows to identify moving objects by assessing their shape and size. For the creation of digital models of the studied objects and their subsequent identification there was developed a computer application working in Matlab programming environment. The application use the functions of designing, implementing, visualizing and simulating neural networks. The configuration of the test stand allows for carrying out experiments using analog and digital sensors.