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Analyzing the importance of network topology in AADT estimation: insights from travel demand models using graph neural networks.

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Bibliographic Details
Title: Analyzing the importance of network topology in AADT estimation: insights from travel demand models using graph neural networks.
Authors: Zhen, Hao1, Hao.Zhen@uga.edu, Yang, Jidong J.1, Jidong.Yang@uga.edu
Source: Transportation; Jun2026, Vol. 53 Issue 3, p1489-1526, 38p
Database: Applied Science & Technology Source
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  Data: Analyzing the importance of network topology in AADT estimation: insights from travel demand models using graph neural networks.
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  Data: <searchLink fieldCode="JN" term="%22Transportation%22">Transportation</searchLink>; Jun2026, Vol. 53 Issue 3, p1489-1526, 38p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193167768
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        Value: 10.1007/s11116-024-10536-y
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      – Code: eng
        Text: English
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        PageCount: 38
        StartPage: 1489
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      – TitleFull: Analyzing the importance of network topology in AADT estimation: insights from travel demand models using graph neural networks.
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              Text: Jun2026
              Type: published
              Y: 2026
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