With the tremendous development of the economy and the acceleration of urbanization, traffic congestion has become an inevitable problem for all countries in the world. Intelligent transportation system (ITS) is deemed to be one of the effective methods to solve urban traffic problems, while short-term traffic flow analysis of road is the core of ITS. Therefore, it is of great theoretical and practical significance to study the effective modeling theory and method of short-term traffic flow. Using mathematics and mechanics theory, the traffic flow theory is to research the law of road traffic. Short-term traffic flow system is similar to hydrodynamics systems to a large extend, and has the basic characteristics of dynamics system. This system has high uncertainty, and it is difficult for people to grasp the influence range and action mechanism of various factors in the system.


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    Titel :

    Forecasting and Optimization of Short-Term Traffic Flow Dynamics Modeling Based on Grey System Theory


    Weitere Titelangaben:

    ser. on Grey System


    Beteiligte:
    Yang, Yingjie (Herausgeber:in) / Liu, Sifeng (Herausgeber:in) / Xiao, Xinping (Autor:in) / Guo, Huan (Autor:in) / Yang, Jinwei (Autor:in)


    Erscheinungsdatum :

    05.02.2023


    Format / Umfang :

    41 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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