Through the application and expansion of expressway ETC gantry transaction data, we propose a short-term traffic flow forecasting of expressway based on the Kalman Filtering (KF) and Random Forest (RF) model, which not only takes into account the basic external features and periodic features but also considers the spatio-temporal correlation relationship in the road section, so as to construct the spatial correlation features and temporal correlation features. In this paper, we use the ETC gantry transaction data of Fuzhou–Xiamen section of the expressway to forecast and verify in Fujian Province, China, the final results show that: When the rolling window is 20 min, compared with the results before and after Kalman Filtering algorithm processing traffic flow data, the performance indicators is greatly improved, which verifies the positive effect of Kalman Filtering algorithm; it is also verified that the constructed features have a great influence on traffic flow forecasting and play a positive role in improving forecasting accuracy; and it is also verified that the RF model has better forecasting effect than the baseline models.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Expressway Short-Term Traffic Flow Forecasting Considering Spatio-Temporal Features of ETC Gantry


    Additional title:

    Smart Innovation, Systems and Technologies


    Contributors:
    Ni, Shaoquan (editor) / Wu, Tsu-Yang (editor) / Geng, Jingchun (editor) / Chu, Shu-Chuan (editor) / Tsihrintzis, George A. (editor) / Xu, Gen (author) / Zou, Fumin (author) / Tian, Junshan (author) / Guo, Feng (author) / Cai, Qiqin (author)


    Publication date :

    2023-05-15


    Size :

    18 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Short-Term Traffic States Forecasting Considering Spatial–Temporal Impact on an Urban Expressway

    Chen, Peng / Ding, Chuan / Lu, Guangquan et al. | Transportation Research Record | 2016


    Short-Term Expressway Traffic Flow Forecasting and Early Warning

    Chen, Yuguang / Yuan, Manrong / Chen, Yuhong et al. | ASCE | 2016


    Short-Term Traffic Flow Prediction of Expressway Considering Spatial Influences

    Shuai, Chunyan / Wang, WenCong / Xu, Geng et al. | ASCE | 2022


    Short-term traffic congestion prediction with Conv–BiLSTM considering spatio-temporal features

    Li, Tao / Ni, Anning / Zhang, Chunqin et al. | IET | 2021

    Free access

    Short‐term traffic congestion prediction with Conv–BiLSTM considering spatio‐temporal features

    Li, Tao / Ni, Anning / Zhang, Chunqin et al. | Wiley | 2020

    Free access