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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Universiti Teknologi Mara Cawangan Pulau Pinang
2018
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/28880/1/AJ_%20AIDA%20SYAMILAH%20MOHD%20NASIR%20EAJ%2018.pdf |
| _version_ | 1825736923303378944 |
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| 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 |
| collection | UITM |
| 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. |
| first_indexed | 2024-03-06T02:10:14Z |
| format | Article |
| id | uitm.eprints-8880 |
| institution | Universiti Teknologi MARA |
| language | English |
| last_indexed | 2024-03-06T02:10:14Z |
| publishDate | 2018 |
| publisher | Universiti Teknologi Mara Cawangan Pulau Pinang |
| record_format | dspace |
| spelling | uitm.eprints-88802020-03-20T03:00:51Z https://ir.uitm.edu.my/id/eprint/28880/ Modelling road accidents in Malaysia / Aida Syamilah Mohd Nasir... [et al.] esteem 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 https://ir.uitm.edu.my/id/eprint/28880/1/AJ_%20AIDA%20SYAMILAH%20MOHD%20NASIR%20EAJ%2018.pdf Modelling road accidents in Malaysia / Aida Syamilah Mohd Nasir... [et al.]. (2018) ESTEEM Academic Journal <https://ir.uitm.edu.my/view/publication/ESTEEM_Academic_Journal/>, 14. pp. 66-76. ISSN 1675-7939 http://uppp.uitm.edu.my |
| 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.] |
| title | 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_short | Modelling road accidents in Malaysia / Aida Syamilah Mohd Nasir... [et al.] |
| title_sort | modelling road accidents in malaysia aida syamilah mohd nasir et al |
| topic | Evolutionary programming (Computer science). Genetic algorithms Malaysia |
| url | https://ir.uitm.edu.my/id/eprint/28880/1/AJ_%20AIDA%20SYAMILAH%20MOHD%20NASIR%20EAJ%2018.pdf |
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