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    Integrating Signal Performance Data for Turning Movement Counts Estimation at Intersections Using Machine Learning

    Source: Journal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 010::page 04025079-1
    Author:
    Cho, Nadan
    ,
    Hainen, Alex
    ,
    Tedla, Elsa
    ,
    Burdette, Steve
    DOI: 10.1061/JTEPBS.TEENG-8587
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThis paper explores the use of signal performance measure (SPM) data to estimate turning movement counts at intersections. Accurate turning movement counts are essential for signal timing optimization and traffic management, but traditional ...
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      Integrating Signal Performance Data for Turning Movement Counts Estimation at Intersections Using Machine Learning

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4313573
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorCho, Nadan
    contributor authorHainen, Alex
    contributor authorTedla, Elsa
    contributor authorBurdette, Steve
    date accessioned2026-08-20T12:31:21Z
    date available2026-08-20T12:31:21Z
    date copyright2025/08/08
    date issued2025
    identifier otherJTEPBS.TEENG-8587.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313573
    description abstractAbstractThis paper explores the use of signal performance measure (SPM) data to estimate turning movement counts at intersections. Accurate turning movement counts are essential for signal timing optimization and traffic management, but traditional ...
    publisherAmerican Society of Civil Engineers
    titleIntegrating Signal Performance Data for Turning Movement Counts Estimation at Intersections Using Machine Learning
    typeJournal Article
    journal volume151
    journal issue10
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.TEENG-8587
    journal fristpage04025079-1
    journal lastpage04025079-8
    page8
    treeJournal of Transportation Engineering, Part A: Systems:;2025:;Volume ( 151 ):;issue: 010
    contenttypeFulltext
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