Urban traffic signal control optimization through Deep Q Learning and double Deep Q Learning: a novel approach for efficient traffic management.
Saved in:
| Title: | Urban traffic signal control optimization through Deep Q Learning and double Deep Q Learning: a novel approach for efficient traffic management. |
|---|---|
| Authors: | Jamil, Qazi Umer1, qjamil.rime19smme@student.nust.edu.pk, Kallu, Karam Dad1,2, karamdad.kallu@smme.nust.edu.pk, Khan, Muhammad Jawad3, mt.khan@psau.edu.sa, Safdar, Muhammad4, msafdar@smme.nust.edu.pk, Zafar, Amad5, amad@sejong.ac.kr, Ali, Muhammad Umair5, umair@sejong.ac.kr |
| Source: | Multimedia Tools & Applications; Jul2025, Vol. 84 Issue 22, p24933-24956, 24p |
| Database: | Applied Science & Technology Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 186679132 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Urban traffic signal control optimization through Deep Q Learning and double Deep Q Learning: a novel approach for efficient traffic management. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Jamil%2C+Qazi+Umer%22">Jamil, Qazi Umer</searchLink><relatesTo>1</relatesTo>, <i>qjamil.rime19smme@student.nust.edu.pk</i><br /><searchLink fieldCode="AU" term="%22Kallu%2C+Karam+Dad%22">Kallu, Karam Dad</searchLink><relatesTo>1,2</relatesTo>, <i>karamdad.kallu@smme.nust.edu.pk</i><br /><searchLink fieldCode="AU" term="%22Khan%2C+Muhammad+Jawad%22">Khan, Muhammad Jawad</searchLink><relatesTo>3</relatesTo>, <i>mt.khan@psau.edu.sa</i><br /><searchLink fieldCode="AU" term="%22Safdar%2C+Muhammad%22">Safdar, Muhammad</searchLink><relatesTo>4</relatesTo>, <i>msafdar@smme.nust.edu.pk</i><br /><searchLink fieldCode="AU" term="%22Zafar%2C+Amad%22">Zafar, Amad</searchLink><relatesTo>5</relatesTo>, <i>amad@sejong.ac.kr</i><br /><searchLink fieldCode="AU" term="%22Ali%2C+Muhammad+Umair%22">Ali, Muhammad Umair</searchLink><relatesTo>5</relatesTo>, <i>umair@sejong.ac.kr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; Jul2025, Vol. 84 Issue 22, p24933-24956, 24p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186679132 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-024-20060-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 24933 Titles: – TitleFull: Urban traffic signal control optimization through Deep Q Learning and double Deep Q Learning: a novel approach for efficient traffic management. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jamil, Qazi Umer – PersonEntity: Name: NameFull: Kallu, Karam Dad – PersonEntity: Name: NameFull: Khan, Muhammad Jawad – PersonEntity: Name: NameFull: Safdar, Muhammad – PersonEntity: Name: NameFull: Zafar, Amad – PersonEntity: Name: NameFull: Ali, Muhammad Umair IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 84 – Type: issue Value: 22 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
| ResultId | 1 |