Parking Guidance System is an important component of the Intelligent Transportation System. Unoccupied parking space prediction is a crucial technology of the system. So far there have been no reliable prediction methods. Therefore, to predict the future unoccupied parking space of parking lot becomes an important research subject. Based on the chaotic time series forecasting methods of historical data, the paper developed a weighted one-rank local-region method to predict unoccupied parking space. The model was verified with observed data of a Parking Guidance System in Beijing, China. The results show that the prediction model is precise and model has a great practical value.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Unoccupied Parking Space Prediction of Chaotic Time Series


    Contributors:
    Liu, Shixu (author) / Guan, Hongzhi (author) / Yan, Hai (author) / Yin, Huanhuan (author)

    Conference:

    Tenth International Conference of Chinese Transportation Professionals (ICCTP) ; 2010 ; Beijing, China


    Published in:

    ICCTP 2010 ; 2122-2131


    Publication date :

    2010-07-22




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Unoccupied Parking Space Prediction of Chaotic Time Series

    Liu, S. / Guan, H. / Yan, H. et al. | British Library Conference Proceedings | 2010


    Real time prediction of unoccupied parking space using time series model

    Yu, Fengquan / Guo, Jianhua / Zhu, Xiaobo et al. | IEEE | 2015


    Unoccupied parking space prompting device

    LU WANLIN | European Patent Office | 2020

    Free access

    DETERMINING AN UNOCCUPIED STREET PARKING SPACE

    MAIER MANUEL / MAYER PHILIPP | European Patent Office | 2018

    Free access

    Determining an unoccupied street parking space

    MAIER MANUEL / MAYER PHILIPP | European Patent Office | 2018

    Free access