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The analysis of road traffic fatality pattern for Selangor, Malaysia case study

Road traffic fatality is a burden towards low- and middle-income countries including Malaysia. Seeing that Selangor has the highest number of road traffic fatalities in Malaysia for the year 2019, therefore the state is selected as a case study. The aim of the article is 1) to understand the road tr...

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Main Authors: Radzuan, N. Q., Mohd Hasnun Ariff, Hassan, Abu Kassim, K. A., Ab. Rashid, A. A., Intan Suhana, Mohd Razelan, Nur Aqilah, Othman
Format: Article
Language:English
Published: Penerbit UMP 2021
Subjects:
HE Transportation and Communications
TE Highway engineering. Roads and pavements
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/33673/1/The%20analysis%20of%20road%20traffic%20fatality%20pattern%20for%20Selangor.pdf
http://umpir.ump.edu.my/id/eprint/33673/
https://doi.org/10.15282/mekatronika.v3i1.7155
https://doi.org/10.15282/mekatronika.v3i1.7155
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spelling my.ump.umpir.336732022-04-11T03:14:04Z http://umpir.ump.edu.my/id/eprint/33673/ The analysis of road traffic fatality pattern for Selangor, Malaysia case study Radzuan, N. Q. Mohd Hasnun Ariff, Hassan Abu Kassim, K. A. Ab. Rashid, A. A. Intan Suhana, Mohd Razelan Nur Aqilah, Othman HE Transportation and Communications TE Highway engineering. Roads and pavements TK Electrical engineering. Electronics Nuclear engineering Road traffic fatality is a burden towards low- and middle-income countries including Malaysia. Seeing that Selangor has the highest number of road traffic fatalities in Malaysia for the year 2019, therefore the state is selected as a case study. The aim of the article is 1) to understand the road traffic crash pattern and road traffic fatality pattern in Selangor 2) to determine the ability of 16 road traffic features in classifying road traffic fatality occurrence. The preliminary data screening shows that road traffic crash patterns and road traffic fatality patterns in Selangor have many similarities. However, both of them also have few dissimilarities such as crash time of occurrence, day of occurrence, number of vehicles involved in a crash, and type of vehicle first hit for the crash. Supervised machine learning algorithm in Orange data mining software was considered in this analysis. The analysed algorithms among others are neural network, random forest, decision tree, logistic regression, naïve Bayes, and support vector machine. Neural network was seen as the best algorithm to classify road traffic fatality occurrence with 97.0% classification accuracy outperform other algorithms. The result of the article can be used by the relevant traffic stakeholders to execute safety intervention in a more focused manner in Selangor to reduce the number of road traffic fatalities. Penerbit UMP 2021 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/33673/1/The%20analysis%20of%20road%20traffic%20fatality%20pattern%20for%20Selangor.pdf Radzuan, N. Q. and Mohd Hasnun Ariff, Hassan and Abu Kassim, K. A. and Ab. Rashid, A. A. and Intan Suhana, Mohd Razelan and Nur Aqilah, Othman (2021) The analysis of road traffic fatality pattern for Selangor, Malaysia case study. Mekatronika - Journal of Intelligent Manufacturing & Mechatronics, 3 (1). pp. 79-88. ISSN 2637-0883 https://doi.org/10.15282/mekatronika.v3i1.7155 https://doi.org/10.15282/mekatronika.v3i1.7155
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic HE Transportation and Communications
TE Highway engineering. Roads and pavements
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle HE Transportation and Communications
TE Highway engineering. Roads and pavements
TK Electrical engineering. Electronics Nuclear engineering
Radzuan, N. Q.
Mohd Hasnun Ariff, Hassan
Abu Kassim, K. A.
Ab. Rashid, A. A.
Intan Suhana, Mohd Razelan
Nur Aqilah, Othman
The analysis of road traffic fatality pattern for Selangor, Malaysia case study
description Road traffic fatality is a burden towards low- and middle-income countries including Malaysia. Seeing that Selangor has the highest number of road traffic fatalities in Malaysia for the year 2019, therefore the state is selected as a case study. The aim of the article is 1) to understand the road traffic crash pattern and road traffic fatality pattern in Selangor 2) to determine the ability of 16 road traffic features in classifying road traffic fatality occurrence. The preliminary data screening shows that road traffic crash patterns and road traffic fatality patterns in Selangor have many similarities. However, both of them also have few dissimilarities such as crash time of occurrence, day of occurrence, number of vehicles involved in a crash, and type of vehicle first hit for the crash. Supervised machine learning algorithm in Orange data mining software was considered in this analysis. The analysed algorithms among others are neural network, random forest, decision tree, logistic regression, naïve Bayes, and support vector machine. Neural network was seen as the best algorithm to classify road traffic fatality occurrence with 97.0% classification accuracy outperform other algorithms. The result of the article can be used by the relevant traffic stakeholders to execute safety intervention in a more focused manner in Selangor to reduce the number of road traffic fatalities.
format Article
author Radzuan, N. Q.
Mohd Hasnun Ariff, Hassan
Abu Kassim, K. A.
Ab. Rashid, A. A.
Intan Suhana, Mohd Razelan
Nur Aqilah, Othman
author_facet Radzuan, N. Q.
Mohd Hasnun Ariff, Hassan
Abu Kassim, K. A.
Ab. Rashid, A. A.
Intan Suhana, Mohd Razelan
Nur Aqilah, Othman
author_sort Radzuan, N. Q.
title The analysis of road traffic fatality pattern for Selangor, Malaysia case study
title_short The analysis of road traffic fatality pattern for Selangor, Malaysia case study
title_full The analysis of road traffic fatality pattern for Selangor, Malaysia case study
title_fullStr The analysis of road traffic fatality pattern for Selangor, Malaysia case study
title_full_unstemmed The analysis of road traffic fatality pattern for Selangor, Malaysia case study
title_sort analysis of road traffic fatality pattern for selangor, malaysia case study
publisher Penerbit UMP
publishDate 2021
url http://umpir.ump.edu.my/id/eprint/33673/1/The%20analysis%20of%20road%20traffic%20fatality%20pattern%20for%20Selangor.pdf
http://umpir.ump.edu.my/id/eprint/33673/
https://doi.org/10.15282/mekatronika.v3i1.7155
https://doi.org/10.15282/mekatronika.v3i1.7155
_version_ 1731225789430497280
score 13.211869

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