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    Development and Empirical Study of Real-Time Simulation-Based Dynamic Traffic Assignment Model

    Source: Journal of Transportation Engineering, Part A: Systems:;2010:;Volume ( 136 ):;issue: 011
    Author:
    Tsai-Yun Liao
    ,
    Ta-Yin Hu
    ,
    Li-Wen Chen
    ,
    Wei-Ming Ho
    DOI: 10.1061/(ASCE)TE.1943-5436.0000168
    Publisher: American Society of Civil Engineers
    Abstract: This research aims at developing a system of real-time simulation-based dynamic traffic model under mixed traffic flow conditions. The system consists of two layers, namely, simulation layer and real-time control layer. The system is implemented based on rolling horizon approach, which is advanced for each stage; thus real-time data can be incorporated within the framework. In order to predict normative, as well as predictive, information, a simulation-based dynamic traffic assignment model is employed within each stage. Empirical data for a real city network, such as flows from vehicle detectors, are used to validate the model in a real-time environment. The values of mean absolute percentage error and root-mean-squared percentage error are within 15%, and the results show promising agreements between observed and simulated flows.
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      Development and Empirical Study of Real-Time Simulation-Based Dynamic Traffic Assignment Model

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    http://yetl.yabesh.ir/yetl1/handle/yetl/69165
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    contributor authorTsai-Yun Liao
    contributor authorTa-Yin Hu
    contributor authorLi-Wen Chen
    contributor authorWei-Ming Ho
    date accessioned2017-05-08T22:01:47Z
    date available2017-05-08T22:01:47Z
    date copyrightNovember 2010
    date issued2010
    identifier other%28asce%29te%2E1943-5436%2E0000211.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/69165
    description abstractThis research aims at developing a system of real-time simulation-based dynamic traffic model under mixed traffic flow conditions. The system consists of two layers, namely, simulation layer and real-time control layer. The system is implemented based on rolling horizon approach, which is advanced for each stage; thus real-time data can be incorporated within the framework. In order to predict normative, as well as predictive, information, a simulation-based dynamic traffic assignment model is employed within each stage. Empirical data for a real city network, such as flows from vehicle detectors, are used to validate the model in a real-time environment. The values of mean absolute percentage error and root-mean-squared percentage error are within 15%, and the results show promising agreements between observed and simulated flows.
    publisherAmerican Society of Civil Engineers
    titleDevelopment and Empirical Study of Real-Time Simulation-Based Dynamic Traffic Assignment Model
    typeJournal Paper
    journal volume136
    journal issue11
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/(ASCE)TE.1943-5436.0000168
    treeJournal of Transportation Engineering, Part A: Systems:;2010:;Volume ( 136 ):;issue: 011
    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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