Matching of RFID car tags to train axles at MERMEC

A crucial step in railway diagnostics is the capability of correctly matching data coming from different sensors. For example, in some measurement systems, cars are identified and detected using RFID tags, while the information about axles are collected by different tools installed on the rails. It is then essential to be able to determine which axles have to be associated to each car, and this is a non-trivial goal because of some flaws of the involved sensors. The goal of this thesis is to develop an optimized algorithm to solve this matching problem.