Drones for road accident management: a systematic review.

The aim of this study is to conduct a systematic review of the academic literature regarding applications of drones in road accident management. It is an attempt to address key research questions regarding its status, applications, solutions, challenges, and opportunities. It is the first scholarly...

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Main Authors: Gohari, Adel, Ahmad, Anuar, Abdul Rahim, Ruzairi, Mohamed Elamin,, Nassrin Ibrahim, Mohammed Gismalla,, Mohammed Salih, Oluwatosin, Oloruntobi Olakunle, Hasan, Razi, Ab. Latip, Amir Sharifuddin, Lawal, Abdulmajid
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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Online Access:http://eprints.utm.my/104902/1/AnuarAhmad2023_DronesforRoadAccidentManagement.pdf
http://eprints.utm.my/104902/
http://dx.doi.org/10.1109/ACCESS.2023.3321142
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id my.utm.104902
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spelling my.utm.1049022024-03-25T09:29:04Z http://eprints.utm.my/104902/ Drones for road accident management: a systematic review. Gohari, Adel Ahmad, Anuar Abdul Rahim, Ruzairi Mohamed Elamin,, Nassrin Ibrahim Mohammed Gismalla,, Mohammed Salih Oluwatosin, Oloruntobi Olakunle Hasan, Razi Ab. Latip, Amir Sharifuddin Lawal, Abdulmajid TA Engineering (General). Civil engineering (General) The aim of this study is to conduct a systematic review of the academic literature regarding applications of drones in road accident management. It is an attempt to address key research questions regarding its status, applications, solutions, challenges, and opportunities. It is the first scholarly study specifically devoted to this topic that we are aware of. A systematic search of the Web of Science and Scopus databases yielded 26 relevant articles out of 147 initially identified records. The findings indicate that the emphasis in earlier studies has predominantly been on accident investigation and analysis, with a specific focus on 3D accident scene reconstruction. This review also shows a growing trend towards adopting emerging technologies like drones and integrating them with Industry 4.0 technologies for efficient road accident management. The advantages of drones for each component of road accident management were explored, and their primary challenges were identified, which are linked to flight (permission or operation) and data (collection or processing). Despite the existence of different solution methodologies and frameworks, there remains a dearth of studies examining their suitability for complex accident cases, real-life scenarios, and large-scale accidents. Institute of Electrical and Electronics Engineers Inc. 2023-10-02 Article PeerReviewed application/pdf en http://eprints.utm.my/104902/1/AnuarAhmad2023_DronesforRoadAccidentManagement.pdf Gohari, Adel and Ahmad, Anuar and Abdul Rahim, Ruzairi and Mohamed Elamin,, Nassrin Ibrahim and Mohammed Gismalla,, Mohammed Salih and Oluwatosin, Oloruntobi Olakunle and Hasan, Razi and Ab. Latip, Amir Sharifuddin and Lawal, Abdulmajid (2023) Drones for road accident management: a systematic review. IEEE Access, 11 . pp. 109247-109256. ISSN 2169-3536 http://dx.doi.org/10.1109/ACCESS.2023.3321142 DOI: 10.1109/ACCESS.2023.3321142
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Gohari, Adel
Ahmad, Anuar
Abdul Rahim, Ruzairi
Mohamed Elamin,, Nassrin Ibrahim
Mohammed Gismalla,, Mohammed Salih
Oluwatosin, Oloruntobi Olakunle
Hasan, Razi
Ab. Latip, Amir Sharifuddin
Lawal, Abdulmajid
Drones for road accident management: a systematic review.
description The aim of this study is to conduct a systematic review of the academic literature regarding applications of drones in road accident management. It is an attempt to address key research questions regarding its status, applications, solutions, challenges, and opportunities. It is the first scholarly study specifically devoted to this topic that we are aware of. A systematic search of the Web of Science and Scopus databases yielded 26 relevant articles out of 147 initially identified records. The findings indicate that the emphasis in earlier studies has predominantly been on accident investigation and analysis, with a specific focus on 3D accident scene reconstruction. This review also shows a growing trend towards adopting emerging technologies like drones and integrating them with Industry 4.0 technologies for efficient road accident management. The advantages of drones for each component of road accident management were explored, and their primary challenges were identified, which are linked to flight (permission or operation) and data (collection or processing). Despite the existence of different solution methodologies and frameworks, there remains a dearth of studies examining their suitability for complex accident cases, real-life scenarios, and large-scale accidents.
format Article
author Gohari, Adel
Ahmad, Anuar
Abdul Rahim, Ruzairi
Mohamed Elamin,, Nassrin Ibrahim
Mohammed Gismalla,, Mohammed Salih
Oluwatosin, Oloruntobi Olakunle
Hasan, Razi
Ab. Latip, Amir Sharifuddin
Lawal, Abdulmajid
author_facet Gohari, Adel
Ahmad, Anuar
Abdul Rahim, Ruzairi
Mohamed Elamin,, Nassrin Ibrahim
Mohammed Gismalla,, Mohammed Salih
Oluwatosin, Oloruntobi Olakunle
Hasan, Razi
Ab. Latip, Amir Sharifuddin
Lawal, Abdulmajid
author_sort Gohari, Adel
title Drones for road accident management: a systematic review.
title_short Drones for road accident management: a systematic review.
title_full Drones for road accident management: a systematic review.
title_fullStr Drones for road accident management: a systematic review.
title_full_unstemmed Drones for road accident management: a systematic review.
title_sort drones for road accident management: a systematic review.
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
url http://eprints.utm.my/104902/1/AnuarAhmad2023_DronesforRoadAccidentManagement.pdf
http://eprints.utm.my/104902/
http://dx.doi.org/10.1109/ACCESS.2023.3321142
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score 13.211869