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    Arterial Signal Coordination Optimization Model Based on All-Direction Pairs at Intersections

    Source: Journal of Transportation Engineering, Part A: Systems:;2024:;Volume ( 150 ):;issue: 008::page 04024042-1
    Author:
    Peng Zhang
    ,
    Kai Wang
    ,
    Chao Sun
    ,
    Wenquan Li
    DOI: 10.1061/JTEPBS.TEENG-8336
    Publisher: American Society of Civil Engineers
    Abstract: The current arterial signal coordination models only target through traffic or critical traffic, resulting in fairness issues for traffic in other directions. Moreover, these models fail to achieve system optimality between intersections along the arterial. To address these problems, this paper establishes an arterial signal coordination optimization model based on all-direction pairs of adjacent intersections. The model takes the minimum weighted green wave band center offset of all-direction pairs at the intersections as the objective function. The optimization variables are the cycle length, offset, and phase sequence. The phase sequence structure adopts the ring-and-barrier structure, and the phase sequence optimization includes not only the main road but also the minor road intersecting with it. The model is an integer linear programming model, and it optimizes all-direction pairs of the upstream and downstream intersections. By analyzing the spatiotemporal diagram of the intersections, constraints are established for the phase sequence of the main road and intersecting roads. Through optimization of the offset and phase sequence, the coordination of flow direction pairs between upstream and downstream intersections can be optimized to improve the overall traffic fairness of the arterial.
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      Arterial Signal Coordination Optimization Model Based on All-Direction Pairs at Intersections

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4298304
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorPeng Zhang
    contributor authorKai Wang
    contributor authorChao Sun
    contributor authorWenquan Li
    date accessioned2024-12-24T10:06:15Z
    date available2024-12-24T10:06:15Z
    date copyright8/1/2024 12:00:00 AM
    date issued2024
    identifier otherJTEPBS.TEENG-8336.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4298304
    description abstractThe current arterial signal coordination models only target through traffic or critical traffic, resulting in fairness issues for traffic in other directions. Moreover, these models fail to achieve system optimality between intersections along the arterial. To address these problems, this paper establishes an arterial signal coordination optimization model based on all-direction pairs of adjacent intersections. The model takes the minimum weighted green wave band center offset of all-direction pairs at the intersections as the objective function. The optimization variables are the cycle length, offset, and phase sequence. The phase sequence structure adopts the ring-and-barrier structure, and the phase sequence optimization includes not only the main road but also the minor road intersecting with it. The model is an integer linear programming model, and it optimizes all-direction pairs of the upstream and downstream intersections. By analyzing the spatiotemporal diagram of the intersections, constraints are established for the phase sequence of the main road and intersecting roads. Through optimization of the offset and phase sequence, the coordination of flow direction pairs between upstream and downstream intersections can be optimized to improve the overall traffic fairness of the arterial.
    publisherAmerican Society of Civil Engineers
    titleArterial Signal Coordination Optimization Model Based on All-Direction Pairs at Intersections
    typeJournal Article
    journal volume150
    journal issue8
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/JTEPBS.TEENG-8336
    journal fristpage04024042-1
    journal lastpage04024042-9
    page9
    treeJournal of Transportation Engineering, Part A: Systems:;2024:;Volume ( 150 ):;issue: 008
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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