This paper analyses manually realised solutions to the Train Unit Shunting Problem (TUSP) to find patterns in train type. The parking element is most important for the TUSP. Therefore, this research specifically investigates the presence of train type patterns in parking track and parking time. The difference in the patterns between main train type and train subtype is also analysed. The study uses statistical hypothesis testing to look for biases between individual train types and parking tracks. Kernel density estimation is used to analyse the differences in parking time between the types. The results show that there are strong patterns in type and parking track, but no clear difference in parking time. Considering subtype results in the differences being more specific. It is suspected that the strongly present track pattern is a strategy used by human planners.