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Prediction of Drivers' Red-Light Running Behaviour in Connected Vehicle Environments Using Deep Recurrent Neural Networks.

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Title: Prediction of Drivers' Red-Light Running Behaviour in Connected Vehicle Environments Using Deep Recurrent Neural Networks.
Authors: Komol, Md Mostafizur Rahman1,2, m.komol@qut.edu.au, Elhenawy, Mohammed3, mohammed.elhenawy@qut.edu.aur.andry@qut.edu.au, Pinnow, Jack4, jack.z.pinnow@tmr.qld.gov.au, Masoud, Mahmoud5, mahmoud.masoud@kfupm.edu.sa, Rakotonirainy, Andry3, sebastien.glaser@qut.edu.au, Glaser, Sebastien3, Wood, Merle4, merle.y.wood@tmr.qld.gov.au, Alderson, David4, david.d.alderson@tmr.qld.gov.au
Source: Machine Learning & Knowledge Extraction; Dec2024, Vol. 6 Issue 4, p2855-2875, 21p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 181948072
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Prediction of Drivers' Red-Light Running Behaviour in Connected Vehicle Environments Using Deep Recurrent Neural Networks.
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  Data: <searchLink fieldCode="JN" term="%22Machine+Learning+%26+Knowledge+Extraction%22">Machine Learning & Knowledge Extraction</searchLink>; Dec2024, Vol. 6 Issue 4, p2855-2875, 21p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=181948072
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        Value: 10.3390/make6040136
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      – Code: eng
        Text: English
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      – TitleFull: Prediction of Drivers' Red-Light Running Behaviour in Connected Vehicle Environments Using Deep Recurrent Neural Networks.
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              M: 12
              Text: Dec2024
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              Y: 2024
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            – TitleFull: Machine Learning & Knowledge Extraction
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