Based on characteristic analysis of traffic flow time sequences, the paper focuses on research of the State Space Reconstruction method of chaotic time series dynamic systems. In order to improve the consistency of changing trend between proximal point and center point, the additional constraint is imposed that nearest neighbors have temporal separation greater than the mean period of the time series when confirming neighbor Phase Points, and the error correction method is put forward to make full use of the one-step forecasting result. Thus the Improved Adding-weighted One-rank Local-region Prediction model (IAOL) is set up. The results of the experiments on actual traffic flow data from the Beijing traffic system show that the IAOL model has high prediction accuracy and credibility.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    The Improved Forecasting Model for Short-Term Traffic Flow Based on Phase Space Reconstruction


    Beteiligte:
    Zhuo, Hui (Autor:in) / Jia, Limin (Autor:in) / Cai, Guoqiang (Autor:in) / Liu, Dongmei (Autor:in)

    Kongress:

    Second International Conference on Transportation Engineering ; 2009 ; Southwest Jiaotong University, Chengdu, China



    Erscheinungsdatum :

    29.07.2009




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    The Improved Forecasting Model for Short-Term Traffic Flow Based on Phase Space Reconstruction

    Zhuo, H. / Jia, L. / Cai, G. et al. | British Library Conference Proceedings | 2009


    Short-Term Traffic Flow Forecasting Model Based on GA-TCN

    Rongji Zhang / Feng Sun / Ziwen Song et al. | DOAJ | 2021

    Freier Zugriff

    Short-term traffic flow forecasting based on Markov chain model

    Guoqiang Yu, / Jianming Hu, / Changshui Zhang, et al. | IEEE | 2003


    Forecasting Model of Short-Term Traffic Flow Based on Cloud Model

    Liu, Qin ;Xu, Jian Min | Trans Tech Publications | 2011


    Short-Term Traffic Flow Forecasting Based on the Improved Non-Parametric Regression

    Li, Ying-hong / Hao, Xiao-qing / Liu, Le-min | ASCE | 2013