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Hytranet: a deep learning model for traffic congestion prediction in road networks.

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Bibliographic Details
Title: Hytranet: a deep learning model for traffic congestion prediction in road networks.
Authors: Kumar, Manoj1,2, manojkumar7281@gmail.com, Kumar, Kranti1, kranti31lu@gmail.com
Source: Journal of Combinatorial Optimization; Jan2026, Vol. 51 Issue 1, p1-22, 22p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 190815781
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Hytranet: a deep learning model for traffic congestion prediction in road networks.
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  Data: <searchLink fieldCode="AU" term="%22Kumar%2C+Manoj%22">Kumar, Manoj</searchLink><relatesTo>1,2</relatesTo>, <i>manojkumar7281@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Kumar%2C+Kranti%22">Kumar, Kranti</searchLink><relatesTo>1</relatesTo>, <i>kranti31lu@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Combinatorial+Optimization%22">Journal of Combinatorial Optimization</searchLink>; Jan2026, Vol. 51 Issue 1, p1-22, 22p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190815781
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      – Type: doi
        Value: 10.1007/s10878-025-01382-4
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      – Code: eng
        Text: English
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        PageCount: 22
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      – TitleFull: Hytranet: a deep learning model for traffic congestion prediction in road networks.
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            NameFull: Kumar, Manoj
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            – D: 01
              M: 01
              Text: Jan2026
              Type: published
              Y: 2026
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