Short term traffic flow prediction is of great significance for easing traffic congestion and maximizing road carrying capacity. This paper proposes an effective algorithm for traffic flow prediction. Firstly, the algorithm analyzes the characteristics of daily traffic flow. According to the difference, the daily traffic flows are divided into workday type, and holiday type, and each type of data is integrated to predict the corresponding day type traffic flow. Then based on phase space reconstruction, a chaotic local prediction algorithm is proposed. The algorithm uses Euclidean distance to select phase space reference neighborhood successively, and support vector machine is used to establish the mapping relationship between neighboring points. This algorithm is used to predict the data of an intersection in Guangzhou, and satisfactory prediction accuracy has been achieved.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Short term traffic flow prediction research based on chaotic local model


    Contributors:

    Conference:

    17th International Conference on Optical Communications and Networks (ICOCN2018) ; 2018 ; Zhuhai,China


    Published in:

    Proc. SPIE ; 11048


    Publication date :

    2019-02-14





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Event-Based Short-Term Traffic Flow Prediction Model

    Head, K. L. / National Research Council / Transportation Research Board | British Library Conference Proceedings | 1995


    Research on short-term traffic flow prediction based on SARIMA model

    Wang, Jingyi / He, Li / Zhang, Xichun et al. | British Library Conference Proceedings | 2022


    Research on short-term traffic flow prediction based on SARIMA model

    Wang, Jingyi / He, Li / Zhang, Xichun et al. | SPIE | 2022


    Event-Based Short-Term Traffic Flow Prediction Model

    Head, K.Larry | Online Contents | 1995


    Wavelet-Chaotic Integration-Based Forecasting for Short-Term Traffic Flow

    Ren, Q.-L. / Peng, Q.-y. / Li, S. et al. | British Library Conference Proceedings | 2007