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Computer-based decision support system (DSS) application in transportation sector: A review

Poor planning in urban transport infrastructure causes severe congestion, pollution and stifles city productivity. Recently, computer-based decision support systems (DSS) that can solve several transportation decision problems have gained popularity. This paper concisely reviews the application and...

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Main Authors: Ibrahim, Muhammad Shafiq, Kamat, Seri Rahayu, Shamsuddin, Syamimi
Format: Article
Language:English
Published: Academia Industry Networks 2023
Online Access:http://eprints.utem.edu.my/id/eprint/27337/3/22653-1465-75937-1-10-20230613.pdf
http://eprints.utem.edu.my/id/eprint/27337/
https://myjms.mohe.gov.my/index.php/ijssr/article/view/22653/12365
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spelling my.utem.eprints.273372024-07-04T10:57:46Z http://eprints.utem.edu.my/id/eprint/27337/ Computer-based decision support system (DSS) application in transportation sector: A review Ibrahim, Muhammad Shafiq Kamat, Seri Rahayu Shamsuddin, Syamimi Poor planning in urban transport infrastructure causes severe congestion, pollution and stifles city productivity. Recently, computer-based decision support systems (DSS) that can solve several transportation decision problems have gained popularity. This paper concisely reviews the application and contribution of existing research of DSS for the transportation sector. A thorough systematic literature review (SLR) was employed to find relevant material using web search engines like Scopus, Google Scholar and Web Science. The currently available DSS are separated into two categories: (i) developed DSS primarily for research publication and (ii) established web-based DSS that are available online. Most of the latest DSS for research publication within 2017 and 2022 are more focused on public transportation management, road safety and hazardous materials transportation. It is found that existing web-based DSS apps available online, are not focused on efforts to avoid the variables that cause traffic accidents. Most systems only provide limited access to information about road safety issues and concerns. The survey found no research on DSS development, notably in addressing traffic accident causes such driver fatigue. As a result, a decision support system should be built that will monitor and detect the driver's fatigue level, provide a warning, make a judgement about the driver's current position, and recommend a solution whether the driver is safe to drive or not. This study will help academics, policymakers, and practitioners identify research gaps, future directions, and viable areas for multiple-criteria DSS in transportation. Academia Industry Networks 2023-06 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/27337/3/22653-1465-75937-1-10-20230613.pdf Ibrahim, Muhammad Shafiq and Kamat, Seri Rahayu and Shamsuddin, Syamimi (2023) Computer-based decision support system (DSS) application in transportation sector: A review. International Journal of Social Science Research, 5 (2). pp. 72-86. ISSN 2710-6276 https://myjms.mohe.gov.my/index.php/ijssr/article/view/22653/12365
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description Poor planning in urban transport infrastructure causes severe congestion, pollution and stifles city productivity. Recently, computer-based decision support systems (DSS) that can solve several transportation decision problems have gained popularity. This paper concisely reviews the application and contribution of existing research of DSS for the transportation sector. A thorough systematic literature review (SLR) was employed to find relevant material using web search engines like Scopus, Google Scholar and Web Science. The currently available DSS are separated into two categories: (i) developed DSS primarily for research publication and (ii) established web-based DSS that are available online. Most of the latest DSS for research publication within 2017 and 2022 are more focused on public transportation management, road safety and hazardous materials transportation. It is found that existing web-based DSS apps available online, are not focused on efforts to avoid the variables that cause traffic accidents. Most systems only provide limited access to information about road safety issues and concerns. The survey found no research on DSS development, notably in addressing traffic accident causes such driver fatigue. As a result, a decision support system should be built that will monitor and detect the driver's fatigue level, provide a warning, make a judgement about the driver's current position, and recommend a solution whether the driver is safe to drive or not. This study will help academics, policymakers, and practitioners identify research gaps, future directions, and viable areas for multiple-criteria DSS in transportation.
format Article
author Ibrahim, Muhammad Shafiq
Kamat, Seri Rahayu
Shamsuddin, Syamimi
spellingShingle Ibrahim, Muhammad Shafiq
Kamat, Seri Rahayu
Shamsuddin, Syamimi
Computer-based decision support system (DSS) application in transportation sector: A review
author_facet Ibrahim, Muhammad Shafiq
Kamat, Seri Rahayu
Shamsuddin, Syamimi
author_sort Ibrahim, Muhammad Shafiq
title Computer-based decision support system (DSS) application in transportation sector: A review
title_short Computer-based decision support system (DSS) application in transportation sector: A review
title_full Computer-based decision support system (DSS) application in transportation sector: A review
title_fullStr Computer-based decision support system (DSS) application in transportation sector: A review
title_full_unstemmed Computer-based decision support system (DSS) application in transportation sector: A review
title_sort computer-based decision support system (dss) application in transportation sector: a review
publisher Academia Industry Networks
publishDate 2023
url http://eprints.utem.edu.my/id/eprint/27337/3/22653-1465-75937-1-10-20230613.pdf
http://eprints.utem.edu.my/id/eprint/27337/
https://myjms.mohe.gov.my/index.php/ijssr/article/view/22653/12365
_version_ 1804070313000960000
score 13.211869

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