Phase space reconstruction is the base of chaotic traffic flow prediction. To determine objectively the embedding delay time ¿ and embedding dimension m of real urban traffic flow time series chaotic phase space, we put forward a new kind of average calculation method. For delay time value, we first calculated its value of single day with auto-correlation and improved auto-correlation function, then we averaged seven days' values to degrade error. As to embedding dimension, we studied it with G-P algorithm and CAO algorithm respectively on base of data processing. Last, the method's feasibility was tested by analyzing the chaotic characteristics of Ji'nan city traffic flow and the reference parameters were offered, i.e. ¿=14 and m=4.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Real Urban Traffic Flow Chaotic Phase Space Study


    Beteiligte:
    Zhang, L.D. (Autor:in) / Wang, Y. L. (Autor:in) / Sun, Zh. Q. (Autor:in) / Pan, J.Sh. (Autor:in)


    Erscheinungsdatum :

    01.10.2008


    Format / Umfang :

    240437 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Phase Transition of Urban Freeway Traffic Flow

    Guan, Wei / He, Shuyan / Ma, Jihui | IEEE | 2008


    Real-Time Traffic Optimization for Urban Traffic Congestion

    Korde, Mridula / Gharote, Nishad / Mishra, Rahul et al. | IEEE | 2025



    Urban area traffic flow prediction method considering multiple space-time granularities

    SHI XIAOYING / LI GUOYI / HE BOWEN et al. | Europäisches Patentamt | 2024

    Freier Zugriff

    Study on Urban Mixed-Traffic Flow Based Fractal

    Zhu, Y. / Wang, J. / Qian, D. et al. | British Library Conference Proceedings | 2006