Short-term traffic flow prediction in heterogeneous traffic conditions using Gaussian process regression.
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| Title: | Short-term traffic flow prediction in heterogeneous traffic conditions using Gaussian process regression. |
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| Authors: | Bharti1, bhartisolanki1995@gmail.com, Naheliya, Bharti2, bhartinaheliya@gmail.com, Kumar, Kranti1, kranti31lu@gmail.com |
| Source: | International Journal of Information Technology (2511-2104); Dec2025, Vol. 17 Issue 9, p5661-5671, 11p |
| Database: | Applied Science & Technology Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 191290506 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Short-term traffic flow prediction in heterogeneous traffic conditions using Gaussian process regression. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Bharti%22">Bharti</searchLink><relatesTo>1</relatesTo>, <i>bhartisolanki1995@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Naheliya%2C+Bharti%22">Naheliya, Bharti</searchLink><relatesTo>2</relatesTo>, <i>bhartinaheliya@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Kumar%2C+Kranti%22">Kumar, Kranti</searchLink><relatesTo>1</relatesTo>, <i>kranti31lu@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Information+Technology+%282511-2104%29%22">International Journal of Information Technology (2511-2104)</searchLink>; Dec2025, Vol. 17 Issue 9, p5661-5671, 11p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191290506 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s41870-024-01902-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 5661 Titles: – TitleFull: Short-term traffic flow prediction in heterogeneous traffic conditions using Gaussian process regression. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bharti – PersonEntity: Name: NameFull: Naheliya, Bharti – PersonEntity: Name: NameFull: Kumar, Kranti IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 25112104 Numbering: – Type: volume Value: 17 – Type: issue Value: 9 Titles: – TitleFull: International Journal of Information Technology (2511-2104) Type: main |
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