Urban traffic signal control optimization through Deep Q Learning and double Deep Q Learning: a novel approach for efficient traffic management.

Saved in:
Bibliographic Details
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.
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