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Research on Optimizing Low-Saturation Intersection Signals with Consideration for Both Efficiency and Fairness.

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Title: Research on Optimizing Low-Saturation Intersection Signals with Consideration for Both Efficiency and Fairness.
Authors: Zhu, Lingxiang1, Yu, Lujing2, Zou, Liang2, zouliang@szu.edu.cn
Source: Applied Sciences (2076-3417); Sep2024, Vol. 14 Issue 17, p8047, 19p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Research on Optimizing Low-Saturation Intersection Signals with Consideration for Both Efficiency and Fairness.
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  Data: <searchLink fieldCode="AU" term="%22Zhu%2C+Lingxiang%22">Zhu, Lingxiang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Yu%2C+Lujing%22">Yu, Lujing</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Zou%2C+Liang%22">Zou, Liang</searchLink><relatesTo>2</relatesTo>, <i>zouliang@szu.edu.cn</i>
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3390/app14178047
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 19
        StartPage: 8047
    Titles:
      – TitleFull: Research on Optimizing Low-Saturation Intersection Signals with Consideration for Both Efficiency and Fairness.
        Type: main
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          Name:
            NameFull: Zhu, Lingxiang
      – PersonEntity:
          Name:
            NameFull: Yu, Lujing
      – PersonEntity:
          Name:
            NameFull: Zou, Liang
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          Dates:
            – D: 01
              M: 09
              Text: Sep2024
              Type: published
              Y: 2024
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              Value: 14
            – Type: issue
              Value: 17
          Titles:
            – TitleFull: Applied Sciences (2076-3417)
              Type: main
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