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    Signal Optimization at Urban Highway Rail Grade Crossings Using an Online Adaptive Priority Strategy

    Source: Journal of Transportation Engineering, Part A: Systems:;2012:;Volume ( 138 ):;issue: 004
    Author:
    Guoyuan Wu
    ,
    Liping Zhang
    ,
    Wei-bin Zhang
    ,
    Masayoshi Tomizuka
    DOI: 10.1061/(ASCE)TE.1943-5436.0000344
    Publisher: American Society of Civil Engineers
    Abstract: In urban areas, conventional transit priority systems (e.g., passive priority) present some problems, such as causing too many traffic delays and degradation of on line performance due to the lack of real-time data. The purpose of this study is to develop an on line adaptive priority strategy to optimize traffic operation at a series of consecutive grade crossings in urban areas. The proposed strategy takes into account the impact on cross-street traffic as well. A mathematical model of non linear programming with linear constraints is formulated to minimize overall passenger delays at grade crossings for light rail transit and to minimize the impact on cross-street traffic. The optimization is enabled by real-time arrival-time prediction with GPS-equipped vehicles. To exhibit the anticipatory performance of the proposed strategy, both a numerical analysis and a simulation test are conducted with trolley operation along a stretch of C Street in San Diego. Compared with current signal timings, those obtained from the proposed strategy demonstrate promising results.
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      Signal Optimization at Urban Highway Rail Grade Crossings Using an Online Adaptive Priority Strategy

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/69352
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorGuoyuan Wu
    contributor authorLiping Zhang
    contributor authorWei-bin Zhang
    contributor authorMasayoshi Tomizuka
    date accessioned2017-05-08T22:02:04Z
    date available2017-05-08T22:02:04Z
    date copyrightApril 2012
    date issued2012
    identifier other%28asce%29te%2E1943-5436%2E0000387.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/69352
    description abstractIn urban areas, conventional transit priority systems (e.g., passive priority) present some problems, such as causing too many traffic delays and degradation of on line performance due to the lack of real-time data. The purpose of this study is to develop an on line adaptive priority strategy to optimize traffic operation at a series of consecutive grade crossings in urban areas. The proposed strategy takes into account the impact on cross-street traffic as well. A mathematical model of non linear programming with linear constraints is formulated to minimize overall passenger delays at grade crossings for light rail transit and to minimize the impact on cross-street traffic. The optimization is enabled by real-time arrival-time prediction with GPS-equipped vehicles. To exhibit the anticipatory performance of the proposed strategy, both a numerical analysis and a simulation test are conducted with trolley operation along a stretch of C Street in San Diego. Compared with current signal timings, those obtained from the proposed strategy demonstrate promising results.
    publisherAmerican Society of Civil Engineers
    titleSignal Optimization at Urban Highway Rail Grade Crossings Using an Online Adaptive Priority Strategy
    typeJournal Paper
    journal volume138
    journal issue4
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/(ASCE)TE.1943-5436.0000344
    treeJournal of Transportation Engineering, Part A: Systems:;2012:;Volume ( 138 ):;issue: 004
    contenttypeFulltext
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