Application of Data Mining Algorithm to Investigate the Effect of Intelligent Transportation Systems on Road Accidents Reduction by Decision Tree

Due to the large amount of available data in this study, authors have utilized data mining algorithms, especially the decision tree, to process these data and obtain the information, which would result in increasing road safety, determining the causes affecting it and patterns leading to traffic acc...

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Vydáno v:Komunikácie : vedecké listy Žilinskej univerzity = Communications : scientific letters of the University of Žilina Ročník 24; číslo 2; s. 36 - 45
Hlavní autoři: Khabiri, Mohammad Mehdi, Ghahfarokhi, Fatemeh Matin, Sarfaraz, Sara, Anaie, Hasan Mohammadi
Médium: Journal Article
Jazyk:angličtina
Vydáno: University of Žilina 01.04.2022
Žilinská univerzita v Žilině
Témata:
data mining algorithm
decision tree
driving accidents
ICT Information and Communications Technologies
intelligent transportation systems (its)
road safety
Transport / Logistics
data mining algorithm
intelligent transportation systems (ITS)
decision tree
road safety
driving accidents
ISSN:1335-4205, 2585-7878
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Popis
Shrnutí:Due to the large amount of available data in this study, authors have utilized data mining algorithms, especially the decision tree, to process these data and obtain the information, which would result in increasing road safety, determining the causes affecting it and patterns leading to traffic accidents. The effective use of this tool and its role in controlling the number of driving accidents is the subject of this study with the help of data mining algorithms. The results show that the increase in the number of roadside assistances to more than 41; number of driving accidents (fatally injured) is not significantly different, hence one of the proposed strategies for intelligent relay stations and its organization with the intelligent transportation tool is available. The intelligent transportation system utilities comprise of monitoring, guidance and enforcement tools, plus service tools such as rescue, driver assistant and road improvement.
ISSN:1335-4205
2585-7878
DOI:10.26552/com.C.2022.2.F36-F45