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A SYSTEMATIC REVIEW ON MOTORCYCLISTS� AGGRESSIVE BEHAVIOR ANALYSIS USING COMPUTATIONAL MODELS: CURRENT STATE, CHALLENGES, AND RECOMMENDATIONS

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dc.contributor.authorAbdulwahid S.N.en_US
dc.contributor.authorMahmoud M.A.en_US
dc.contributor.authorGheni H.M.en_US
dc.contributor.authorMostafa S.A.en_US
dc.contributor.authorMohammed A.en_US
dc.contributor.authorid57361650900en_US
dc.contributor.authorid55247787300en_US
dc.contributor.authorid57210428348en_US
dc.contributor.authorid37036085800en_US
dc.contributor.authorid55539878000en_US
dc.date.accessioned2023-05-29T09:36:55Z
dc.date.available2023-05-29T09:36:55Z
dc.date.issued2022
dc.description.abstractThere is an increase in motorcycles traffic accidents, while the cause for such accidents has always been associated with aggressive driving behaviors. There has been considerable research attention on how to deal with such driving behavior that causes severe and fatal accidents from the academic perspective; these research works addressed technical, scientific, and social issues. This study systematically searches, reviews, and analyzes the literature associated with motorcycle accidents and driving behaviors. Between the years 2014 and 2021, the next four databases have been searched: ScienceDirect, Scopus, Web of Science, and IEEE Xplore. A total of 108 people were picked depending on certain inclusion and exclusion criteria. Approximately 68% (n=79/108) of the researchers looked at the challenges from a social science perspective, whereas 25% (n=26/108) concentrated on experimental research variables. Only 7% (n =3/108) explored the development of Apps & systems. Finally, our contribution comprehensively analyses most of the articles by highlighting challenges associated with motorcycle behavior, motivations, and recommendations. In addition, provide potential research gaps in current studies that require further investigation. � 2022 Little Lion Scientific. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.epage5055
dc.identifier.issue16
dc.identifier.scopus2-s2.0-85138612287
dc.identifier.spage5032
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85138612287&partnerID=40&md5=1dae91a79136135c41bb3a28379e1ee4
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26817
dc.identifier.volume100
dc.publisherLittle Lion Scientificen_US
dc.sourceScopus
dc.sourcetitleJournal of Theoretical and Applied Information Technology
dc.titleA SYSTEMATIC REVIEW ON MOTORCYCLISTS� AGGRESSIVE BEHAVIOR ANALYSIS USING COMPUTATIONAL MODELS: CURRENT STATE, CHALLENGES, AND RECOMMENDATIONSen_US
dc.typeReviewen_US
dspace.entity.typePublication
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