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Optimal control of day-to-day traffic dynamics under user learning with dynamic congestion pricing.

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Bibliographic Details
Title: Optimal control of day-to-day traffic dynamics under user learning with dynamic congestion pricing.
Authors: Li, Lu1, Xiao, Feng1, Lu, Jiaming2, Zhong, Shaopeng3
Source: Intelligent Transportation Infrastructure; 2025, Vol. 4, p1-13, 13p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191051651
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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    Identifiers:
      – Type: doi
        Value: 10.1093/iti/liae020
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 13
        StartPage: 1
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      – TitleFull: Optimal control of day-to-day traffic dynamics under user learning with dynamic congestion pricing.
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            NameFull: Li, Lu
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            NameFull: Xiao, Feng
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            NameFull: Lu, Jiaming
      – PersonEntity:
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            NameFull: Zhong, Shaopeng
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            – D: 01
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              Text: 2025
              Type: published
              Y: 2025
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              Value: 4
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            – TitleFull: Intelligent Transportation Infrastructure
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