Train Performance Analysis Using Heterogeneous Statistical Models

This study investigated the effect of a harsh winter climate on performance high-speed passenger trains in northern Sweden. Novel approaches based heterogeneous statistical models were introduced to analyse train take time-varying risks delays into consideration. Specifically, stratified Cox model and Markov chain used primary arrival delays, respectively. Our results showed that weather variables including temperature, humidity, snow depth, ice/snow precipitation have significant impact performance.