R software for traffic crash
Traffic crashes are one of the leading causes of death, and they are caused by a variety of variables. However, little research has been done on the variables that led to the crash. These studies frequently require long and varied time series data, as well as models and complex programming languag...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/11752/1/P16923_db038805b85d8135161782e7b8da754e%204.pdf |
| _version_ | 1824446589580607488 |
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| author | Hartatik, Nurani Prasetijo, Joewono Dwi Prasetyo, Yudi Theresia, Theresia Khilda Nistrina, Khilda Nistrina Atqiya Muslihati, Atqiya Muslihati |
| author_facet | Hartatik, Nurani Prasetijo, Joewono Dwi Prasetyo, Yudi Theresia, Theresia Khilda Nistrina, Khilda Nistrina Atqiya Muslihati, Atqiya Muslihati |
| author_sort | Hartatik, Nurani |
| collection | UTHM |
| description | Traffic crashes are one of the leading causes of death, and they are caused by a variety of variables. However,
little research has been done on the variables that led to the crash. These studies frequently require long and varied time
series data, as well as models and complex programming languages, necessitating the use of computer software to create
information rapidly, precisely, and accurately. The use of licensed software entails relatively high expenses; nevertheless,
using open-source software is one way to overcome the limited cost of licensing this software (OSS). Starting with the
available analytic packages, examples of study utilizing OSS "R," and its advantages over other data processing software,
this paper covers the use of data processing and statistical OSS, specifically the "R" program device in traffic crash research.
The "R" tool can be used for a variety of statistical analyses, from simple analyses like analysis of variance in field research
to complicated visualization analyses. Various research "R" packages have been created. The "R" device's skill in data
management, simulation, modelling, and machine learning is a benefit of this program, which is required in traffic crash
study. Researchers and other parties will have more options to study material with OSS "R" |
| first_indexed | 2025-02-19T01:17:34Z |
| format | Conference or Workshop Item |
| id | uthm.eprints-11752 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2025-02-19T01:17:34Z |
| publishDate | 2024 |
| record_format | dspace |
| spelling | uthm.eprints-117522024-12-23T01:18:20Z http://eprints.uthm.edu.my/11752/ R software for traffic crash Hartatik, Nurani Prasetijo, Joewono Dwi Prasetyo, Yudi Theresia, Theresia Khilda Nistrina, Khilda Nistrina Atqiya Muslihati, Atqiya Muslihati HE Transportation and Communications Traffic crashes are one of the leading causes of death, and they are caused by a variety of variables. However, little research has been done on the variables that led to the crash. These studies frequently require long and varied time series data, as well as models and complex programming languages, necessitating the use of computer software to create information rapidly, precisely, and accurately. The use of licensed software entails relatively high expenses; nevertheless, using open-source software is one way to overcome the limited cost of licensing this software (OSS). Starting with the available analytic packages, examples of study utilizing OSS "R," and its advantages over other data processing software, this paper covers the use of data processing and statistical OSS, specifically the "R" program device in traffic crash research. The "R" tool can be used for a variety of statistical analyses, from simple analyses like analysis of variance in field research to complicated visualization analyses. Various research "R" packages have been created. The "R" device's skill in data management, simulation, modelling, and machine learning is a benefit of this program, which is required in traffic crash study. Researchers and other parties will have more options to study material with OSS "R" 2024-06-07 Conference or Workshop Item PeerReviewed text en http://eprints.uthm.edu.my/11752/1/P16923_db038805b85d8135161782e7b8da754e%204.pdf Hartatik, Nurani and Prasetijo, Joewono and Dwi Prasetyo, Yudi and Theresia, Theresia and Khilda Nistrina, Khilda Nistrina and Atqiya Muslihati, Atqiya Muslihati (2024) R software for traffic crash. In: AIP Conference Proceedings. https://doi.org/10.1063/5.0200157 |
| spellingShingle | HE Transportation and Communications Hartatik, Nurani Prasetijo, Joewono Dwi Prasetyo, Yudi Theresia, Theresia Khilda Nistrina, Khilda Nistrina Atqiya Muslihati, Atqiya Muslihati R software for traffic crash |
| title | R software for traffic crash |
| title_full | R software for traffic crash |
| title_fullStr | R software for traffic crash |
| title_full_unstemmed | R software for traffic crash |
| title_short | R software for traffic crash |
| title_sort | r software for traffic crash |
| topic | HE Transportation and Communications |
| url | http://eprints.uthm.edu.my/11752/1/P16923_db038805b85d8135161782e7b8da754e%204.pdf |
| work_keys_str_mv | AT hartatiknurani rsoftwarefortrafficcrash AT prasetijojoewono rsoftwarefortrafficcrash AT dwiprasetyoyudi rsoftwarefortrafficcrash AT theresiatheresia rsoftwarefortrafficcrash AT khildanistrinakhildanistrina rsoftwarefortrafficcrash AT atqiyamuslihatiatqiyamuslihati rsoftwarefortrafficcrash |