Train performance analysis using heterogeneous statistical models

• Published in: Atmosphere
• Main Authors: Wang, Jianfeng, Yu, Jun
• Format: Article in Journal/Newspaper
• Language: English
• Published: Umeå universitet, Institutionen för matematik och matematisk statistik 2021
• Subjects: Stratied Cox model; Heterogeneous Markov chain model; Likelihood ratio test; Primary delay; Arrival delay; Probability Theory and Statistics; Sannolikhetsteori och statistik; Climate Research; Klimatforskning; Transport Systems and Logistics; Transportteknik och logistik; Meteorology and Atmospheric Sciences; Meteorologi och atmosfärforskning; Noice; Northern Sweden
• Online Access: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-186523; https://doi.org/10.3390/atmos12091115

This study investigated the eect of harsh winter climate on the performance of high speed passenger trains in northern Sweden. Novel approaches based on heterogeneous statistical models were introduced to analyse the train performance in order to take the time-varying risks of train delays into cons...