Comparative study of statistical and machine learning methods for streetcar incident duration analysis

10.1080/13588265.2022.2131262

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Bibliographic Details
Main Author: SIYING ZHU
Other Authors: CIVIL AND ENVIRONMENTAL ENGINEERING
Format: Article
Published: Taylor & Francis 2024
Online Access:https://scholarbank.nus.edu.sg/handle/10635/247116
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-2471162024-03-04T04:43:36Z Comparative study of statistical and machine learning methods for streetcar incident duration analysis SIYING ZHU CIVIL AND ENVIRONMENTAL ENGINEERING 10.1080/13588265.2022.2131262 International Journal of Crashworthiness 29 1 16-21 2024-02-14T07:04:27Z 2024-02-14T07:04:27Z 2022-10-06 Article SIYING ZHU (2022-10-06). Comparative study of statistical and machine learning methods for streetcar incident duration analysis. International Journal of Crashworthiness 29 (1) : 16-21. ScholarBank@NUS Repository. https://doi.org/10.1080/13588265.2022.2131262 1358-8265 https://scholarbank.nus.edu.sg/handle/10635/247116 Taylor & Francis Taylor & Francis
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description 10.1080/13588265.2022.2131262
author2 CIVIL AND ENVIRONMENTAL ENGINEERING
author_facet CIVIL AND ENVIRONMENTAL ENGINEERING
SIYING ZHU
format Article
author SIYING ZHU
spellingShingle SIYING ZHU
Comparative study of statistical and machine learning methods for streetcar incident duration analysis
author_sort SIYING ZHU
title Comparative study of statistical and machine learning methods for streetcar incident duration analysis
title_short Comparative study of statistical and machine learning methods for streetcar incident duration analysis
title_full Comparative study of statistical and machine learning methods for streetcar incident duration analysis
title_fullStr Comparative study of statistical and machine learning methods for streetcar incident duration analysis
title_full_unstemmed Comparative study of statistical and machine learning methods for streetcar incident duration analysis
title_sort comparative study of statistical and machine learning methods for streetcar incident duration analysis
publisher Taylor & Francis
publishDate 2024
url https://scholarbank.nus.edu.sg/handle/10635/247116
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