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    Development of a Progression-Based Signal-Timing Strategy for Continuous-Flow Intersections

    Source: Journal of Transportation Engineering, Part A: Systems:;2021:;Volume ( 147 ):;issue: 003::page 04021002-1
    Author:
    Wenrui Qu
    ,
    Shaojie Liu
    ,
    Qun Zhao
    ,
    Yi Qi
    DOI: 10.1061/JTEPBS.0000508
    Publisher: ASCE
    Abstract: Because continuous-flow intersections (CFIs) are a relatively new intersection design, there are few existing guidelines for designing signal timings for CFIs. An appropriate signal-timing plan will maximize the capacity of the intersection, reduce congestion, and improve safety. This research developed a new signal-timing strategy for CFIs that is based on traffic progression. This new CFI signal-timing strategy was evaluated by conducting traffic simulation-based experiments, and the results of the evaluation showed that it outperformed the signal-timing plan provided by a commonly used existing signal-timing optimization tool. The proposed signal-timing strategy can reduce average traffic delay by 24%, average vehicle travel time by 8.5%, and average queue length by 28.8% at the studied CFI.
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      Development of a Progression-Based Signal-Timing Strategy for Continuous-Flow Intersections

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4270824
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    contributor authorWenrui Qu
    contributor authorShaojie Liu
    contributor authorQun Zhao
    contributor authorYi Qi
    date accessioned2022-02-01T00:03:14Z
    date available2022-02-01T00:03:14Z
    date issued3/1/2021
    identifier otherJTEPBS.0000508.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4270824
    description abstractBecause continuous-flow intersections (CFIs) are a relatively new intersection design, there are few existing guidelines for designing signal timings for CFIs. An appropriate signal-timing plan will maximize the capacity of the intersection, reduce congestion, and improve safety. This research developed a new signal-timing strategy for CFIs that is based on traffic progression. This new CFI signal-timing strategy was evaluated by conducting traffic simulation-based experiments, and the results of the evaluation showed that it outperformed the signal-timing plan provided by a commonly used existing signal-timing optimization tool. The proposed signal-timing strategy can reduce average traffic delay by 24%, average vehicle travel time by 8.5%, and average queue length by 28.8% at the studied CFI.
    publisherASCE
    titleDevelopment of a Progression-Based Signal-Timing Strategy for Continuous-Flow Intersections
    typeJournal Paper
    journal volume147
    journal issue3
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.0000508
    journal fristpage04021002-1
    journal lastpage04021002-11
    page11
    treeJournal of Transportation Engineering, Part A: Systems:;2021:;Volume ( 147 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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