Train Performance Analysis Using Heterogeneous Statistical Models

This study investigated the effect of a 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 to take time-varying risks of train delays into consideration...

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Bibliographic Details
Published in:Atmosphere
Main Authors: Jianfeng Wang, Jun Yu
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2021
Subjects:
stratified Cox model
heterogeneous Markov chain model
likelihood ratio test
primary delay
arrival delay
Meteorology. Climatology
QC851-999
Northern Sweden
Online Access:https://doi.org/10.3390/atmos12091115
https://doaj.org/article/8c4f7e8d86ab4a0b84766bac91a36b15
id ftdoajarticles:oai:doaj.org/article:8c4f7e8d86ab4a0b84766bac91a36b15
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spelling ftdoajarticles:oai:doaj.org/article:8c4f7e8d86ab4a0b84766bac91a36b15 2023-05-15T17:44:27+02:00 Train Performance Analysis Using Heterogeneous Statistical Models Jianfeng Wang Jun Yu 2021-08-01T00:00:00Z https://doi.org/10.3390/atmos12091115 https://doaj.org/article/8c4f7e8d86ab4a0b84766bac91a36b15 EN eng MDPI AG https://www.mdpi.com/2073-4433/12/9/1115 https://doaj.org/toc/2073-4433 doi:10.3390/atmos12091115 2073-4433 https://doaj.org/article/8c4f7e8d86ab4a0b84766bac91a36b15 Atmosphere, Vol 12, Iss 1115, p 1115 (2021) stratified Cox model heterogeneous Markov chain model likelihood ratio test primary delay arrival delay Meteorology. Climatology QC851-999 article 2021 ftdoajarticles https://doi.org/10.3390/atmos12091115 2022-12-31T13:11:02Z This study investigated the effect of a 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 to take time-varying risks of train delays into consideration. Specifically, the stratified Cox model and heterogeneous Markov chain model were used to model primary delays and arrival delays, respectively. Our results showed that weather variables including temperature, humidity, snow depth, and ice/snow precipitation have a significant impact on train performance. Article in Journal/Newspaper Northern Sweden Directory of Open Access Journals: DOAJ Articles Atmosphere 12 9 1115
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic stratified Cox model
heterogeneous Markov chain model
likelihood ratio test
primary delay
arrival delay
Meteorology. Climatology
QC851-999
spellingShingle stratified Cox model
heterogeneous Markov chain model
likelihood ratio test
primary delay
arrival delay
Meteorology. Climatology
QC851-999
Jianfeng Wang
Jun Yu
Train Performance Analysis Using Heterogeneous Statistical Models
topic_facet stratified Cox model
heterogeneous Markov chain model
likelihood ratio test
primary delay
arrival delay
Meteorology. Climatology
QC851-999
description This study investigated the effect of a 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 to take time-varying risks of train delays into consideration. Specifically, the stratified Cox model and heterogeneous Markov chain model were used to model primary delays and arrival delays, respectively. Our results showed that weather variables including temperature, humidity, snow depth, and ice/snow precipitation have a significant impact on train performance.
format Article in Journal/Newspaper
author Jianfeng Wang
Jun Yu
author_facet Jianfeng Wang
Jun Yu
author_sort Jianfeng Wang
title Train Performance Analysis Using Heterogeneous Statistical Models
title_short Train Performance Analysis Using Heterogeneous Statistical Models
title_full Train Performance Analysis Using Heterogeneous Statistical Models
title_fullStr Train Performance Analysis Using Heterogeneous Statistical Models
title_full_unstemmed Train Performance Analysis Using Heterogeneous Statistical Models
title_sort train performance analysis using heterogeneous statistical models
publisher MDPI AG
publishDate 2021
url https://doi.org/10.3390/atmos12091115
https://doaj.org/article/8c4f7e8d86ab4a0b84766bac91a36b15
genre Northern Sweden
genre_facet Northern Sweden
op_source Atmosphere, Vol 12, Iss 1115, p 1115 (2021)
op_relation https://www.mdpi.com/2073-4433/12/9/1115
https://doaj.org/toc/2073-4433
doi:10.3390/atmos12091115
2073-4433
https://doaj.org/article/8c4f7e8d86ab4a0b84766bac91a36b15
op_doi https://doi.org/10.3390/atmos12091115
container_title Atmosphere
container_volume 12
container_issue 9
container_start_page 1115
_version_ 1766146679318249472

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