Modelling road accidents in Malaysia / Aida Syamilah Mohd Nasir... [et al.]

Safety and accident issues are considered important problems in the world. Road accident issues would have more conspicuous countenance in Malaysia. Almost every day there will be news about road accident, whether on television, newspapers and internet. Therefore, the aim of this study is to underst...

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Main Authors: Mohd Nasir, Aida Syamilah, Husainizam, Haziq Hamizan, Halim, Nurul Sabrina, Ab Malek, Isnewati, Ab Malek, Haslinda
Format: Article
Language:English
Published: Universiti Teknologi Mara Cawangan Pulau Pinang 2018
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/28880/
http://ir.uitm.edu.my/id/eprint/28880/
http://ir.uitm.edu.my/id/eprint/28880/1/AJ_%20AIDA%20SYAMILAH%20MOHD%20NASIR%20EAJ%2018.pdf
id uitm-28880
recordtype eprints
spelling uitm-288802020-03-20T03:00:51Z http://ir.uitm.edu.my/id/eprint/28880/ Modelling road accidents in Malaysia / Aida Syamilah Mohd Nasir... [et al.] Mohd Nasir, Aida Syamilah Husainizam, Haziq Hamizan Halim, Nurul Sabrina Ab Malek, Isnewati Ab Malek, Haslinda Evolutionary programming (Computer science). Genetic algorithms Malaysia Safety and accident issues are considered important problems in the world. Road accident issues would have more conspicuous countenance in Malaysia. Almost every day there will be news about road accident, whether on television, newspapers and internet. Therefore, the aim of this study is to understand the general trend of road accidents in Malaysia, to estimate the best parameters of the Box-Jenkins Model and then to find the best-fitted model for road accidents in Malaysia. A monthly accident data from 2007 to 2016 was obtained form the Malaysia Institude of Road Safety (MIROS). This study applies Autoregressive Integrated Moving Average (ARIMA) time series model to study the trend of road accidents in Malaysia. Based on the result obtained, the trend of the number of road accidents in Malaysia are increasing. The finding also showed that by comparing the AIC and BIC value, ARIMA(1,1,1) was identified as the best model. This study contributes to the implementation of road safety in order to reduce the increasing trend of road accidents in Malaysia. Universiti Teknologi Mara Cawangan Pulau Pinang 2018-12 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/28880/1/AJ_%20AIDA%20SYAMILAH%20MOHD%20NASIR%20EAJ%2018.pdf Mohd Nasir, Aida Syamilah and Husainizam, Haziq Hamizan and Halim, Nurul Sabrina and Ab Malek, Isnewati and Ab Malek, Haslinda (2018) Modelling road accidents in Malaysia / Aida Syamilah Mohd Nasir... [et al.]. ESTEEM Academic Journal, 14. pp. 66-76. ISSN 1675-7939 http://uppp.uitm.edu.my
repository_type Digital Repository
institution_category Local University
institution Universiti Teknologi MARA
building UiTM Institutional Repository
collection Online Access
language English
topic Evolutionary programming (Computer science). Genetic algorithms
Malaysia
spellingShingle Evolutionary programming (Computer science). Genetic algorithms
Malaysia
Mohd Nasir, Aida Syamilah
Husainizam, Haziq Hamizan
Halim, Nurul Sabrina
Ab Malek, Isnewati
Ab Malek, Haslinda
Modelling road accidents in Malaysia / Aida Syamilah Mohd Nasir... [et al.]
description Safety and accident issues are considered important problems in the world. Road accident issues would have more conspicuous countenance in Malaysia. Almost every day there will be news about road accident, whether on television, newspapers and internet. Therefore, the aim of this study is to understand the general trend of road accidents in Malaysia, to estimate the best parameters of the Box-Jenkins Model and then to find the best-fitted model for road accidents in Malaysia. A monthly accident data from 2007 to 2016 was obtained form the Malaysia Institude of Road Safety (MIROS). This study applies Autoregressive Integrated Moving Average (ARIMA) time series model to study the trend of road accidents in Malaysia. Based on the result obtained, the trend of the number of road accidents in Malaysia are increasing. The finding also showed that by comparing the AIC and BIC value, ARIMA(1,1,1) was identified as the best model. This study contributes to the implementation of road safety in order to reduce the increasing trend of road accidents in Malaysia.
format Article
author Mohd Nasir, Aida Syamilah
Husainizam, Haziq Hamizan
Halim, Nurul Sabrina
Ab Malek, Isnewati
Ab Malek, Haslinda
author_facet Mohd Nasir, Aida Syamilah
Husainizam, Haziq Hamizan
Halim, Nurul Sabrina
Ab Malek, Isnewati
Ab Malek, Haslinda
author_sort Mohd Nasir, Aida Syamilah
title Modelling road accidents in Malaysia / Aida Syamilah Mohd Nasir... [et al.]
title_short Modelling road accidents in Malaysia / Aida Syamilah Mohd Nasir... [et al.]
title_full Modelling road accidents in Malaysia / Aida Syamilah Mohd Nasir... [et al.]
title_fullStr Modelling road accidents in Malaysia / Aida Syamilah Mohd Nasir... [et al.]
title_full_unstemmed Modelling road accidents in Malaysia / Aida Syamilah Mohd Nasir... [et al.]
title_sort modelling road accidents in malaysia / aida syamilah mohd nasir... [et al.]
publisher Universiti Teknologi Mara Cawangan Pulau Pinang
publishDate 2018
url http://ir.uitm.edu.my/id/eprint/28880/
http://ir.uitm.edu.my/id/eprint/28880/
http://ir.uitm.edu.my/id/eprint/28880/1/AJ_%20AIDA%20SYAMILAH%20MOHD%20NASIR%20EAJ%2018.pdf
first_indexed 2023-09-18T23:20:46Z
last_indexed 2023-09-18T23:20:46Z
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