Forecasting road traffic fatalities in Malaysia using Seasonal Autoregressive Integrated Moving Average (SARIMA) model
In Malaysia, travel activities become more intense during the festive seasons, whereby traffic volume on the roads on average increases about 30%. Consequently, this inevitably increases road traffic fatalities. An integrated enforcement program called the OPS Bersepadu has been carried out since 2...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Universiti Putra Malaysia Press
2022
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| Online Access: | http://psasir.upm.edu.my/id/eprint/92550/1/03%20JST-2965-2021.pdf |
| _version_ | 1825937233610276864 |
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| author | Sim, Ho Jen Choo, Wei Chong Abu Kassim, Khairil Anwar Ching, Siew Mooi Yuruixian, Zhang |
| author_facet | Sim, Ho Jen Choo, Wei Chong Abu Kassim, Khairil Anwar Ching, Siew Mooi Yuruixian, Zhang |
| author_sort | Sim, Ho Jen |
| collection | UPM |
| description | In Malaysia, travel activities become more intense during the festive seasons, whereby traffic volume on the roads on average increases about 30%. Consequently, this inevitably increases road traffic fatalities. An integrated enforcement program called the OPS
Bersepadu has been carried out since 2011 to ensure high road safety performance. This study was carried out to develop a statistical model for predicting the seasonality of traffic fatalities. A Seasonal Autoregressive Integrated Moving Average (SARIMA) model was used to fit road fatalities data between 1980 and 2000 and forecast traffic fatalities from 2001 to 2019. The results showed that the SARIMA (1, 1, 2) (1, 1, 2)12 model fitted the data fairly well and suggest that the SARIMA model is a possible tool that provides an overview of the seasonal patterns of traffic fatalities in Malaysia. The forecasted traffic fatalities based on the SARIMA model were then compared with the actual traffic fatalities during the festive months to explore the effectiveness of the OPS Bersepadu programme to help enforcement authorities allocate optimal resources that could increase the efficiency of enforcement activities to reduce road
traffic fatalities. |
| first_indexed | 2024-03-06T10:56:25Z |
| format | Article |
| id | upm.eprints-92550 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:56:25Z |
| publishDate | 2022 |
| publisher | Universiti Putra Malaysia Press |
| record_format | dspace |
| spelling | upm.eprints-925502022-05-27T09:08:39Z http://psasir.upm.edu.my/id/eprint/92550/ Forecasting road traffic fatalities in Malaysia using Seasonal Autoregressive Integrated Moving Average (SARIMA) model Sim, Ho Jen Choo, Wei Chong Abu Kassim, Khairil Anwar Ching, Siew Mooi Yuruixian, Zhang In Malaysia, travel activities become more intense during the festive seasons, whereby traffic volume on the roads on average increases about 30%. Consequently, this inevitably increases road traffic fatalities. An integrated enforcement program called the OPS Bersepadu has been carried out since 2011 to ensure high road safety performance. This study was carried out to develop a statistical model for predicting the seasonality of traffic fatalities. A Seasonal Autoregressive Integrated Moving Average (SARIMA) model was used to fit road fatalities data between 1980 and 2000 and forecast traffic fatalities from 2001 to 2019. The results showed that the SARIMA (1, 1, 2) (1, 1, 2)12 model fitted the data fairly well and suggest that the SARIMA model is a possible tool that provides an overview of the seasonal patterns of traffic fatalities in Malaysia. The forecasted traffic fatalities based on the SARIMA model were then compared with the actual traffic fatalities during the festive months to explore the effectiveness of the OPS Bersepadu programme to help enforcement authorities allocate optimal resources that could increase the efficiency of enforcement activities to reduce road traffic fatalities. Universiti Putra Malaysia Press 2022 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/92550/1/03%20JST-2965-2021.pdf Sim, Ho Jen and Choo, Wei Chong and Abu Kassim, Khairil Anwar and Ching, Siew Mooi and Yuruixian, Zhang (2022) Forecasting road traffic fatalities in Malaysia using Seasonal Autoregressive Integrated Moving Average (SARIMA) model. Pertanika Journal of Science and Technology, 30 (2). pp. 897-911. ISSN 0128-7680; ESSN: 2231-8526 http://www.pertanika.upm.edu.my/pjst/browse/regular-issue?article=JST-2965-2021 10.47836/pjst.30.2.03 |
| spellingShingle | Sim, Ho Jen Choo, Wei Chong Abu Kassim, Khairil Anwar Ching, Siew Mooi Yuruixian, Zhang Forecasting road traffic fatalities in Malaysia using Seasonal Autoregressive Integrated Moving Average (SARIMA) model |
| title | Forecasting road traffic fatalities in Malaysia using Seasonal
Autoregressive Integrated Moving Average (SARIMA) model |
| title_full | Forecasting road traffic fatalities in Malaysia using Seasonal
Autoregressive Integrated Moving Average (SARIMA) model |
| title_fullStr | Forecasting road traffic fatalities in Malaysia using Seasonal
Autoregressive Integrated Moving Average (SARIMA) model |
| title_full_unstemmed | Forecasting road traffic fatalities in Malaysia using Seasonal
Autoregressive Integrated Moving Average (SARIMA) model |
| title_short | Forecasting road traffic fatalities in Malaysia using Seasonal
Autoregressive Integrated Moving Average (SARIMA) model |
| title_sort | forecasting road traffic fatalities in malaysia using seasonal autoregressive integrated moving average sarima model |
| url | http://psasir.upm.edu.my/id/eprint/92550/1/03%20JST-2965-2021.pdf |
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