Traffic is constantly changing, traffic supposition is extremely crucial in urban planning congestion control as well as management systems. Long-term traffic predictions help with relevant factors and smart city current traffic reduction. Traffic flow is an important topic because it transports regional factors and patterns regional spatial structure. Traffic prediction is gaining popularity due to its widespread real-world applications in traffic management, urban computing, public safety, and other fields. For intelligent transportation systems, timely and accurate traffic flow prediction is critical. A MSFF-Multi-Stream-Feature-Fusion method is proposed in this paper to remove and incorporate rich features after traffic data.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Traffic Prediction Model Based on Multi Stream Feature Fusion


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:

    Conference:

    International Conference on Communications and Cyber Physical Engineering 2018 ; 2024 ; Hyderabad, India February 28, 2024 - February 29, 2024



    Publication date :

    2024-02-05


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    A Multi-Stream Feature Fusion Approach for Traffic Prediction

    Li, Zhishuai / Xiong, Gang / Tian, Yonglin et al. | IEEE | 2022


    Traffic flow prediction method based on multi-feature fusion

    LIU CONG'AI / QIN YUHUA / ZHANG XIAOJING | European Patent Office | 2024

    Free access

    Traffic flow prediction method based on multi-feature extraction and fusion

    TANG YUNXIAO / LI DINGCHENG / LIN ZE | European Patent Office | 2024

    Free access

    Multi-modal traffic flow prediction method based on multi-source data feature fusion

    CHEN LULU / LI SHIJIE / JIANG HUAIGUANG et al. | European Patent Office | 2025

    Free access

    Traffic flow prediction method of multi-network feature random fusion based on residual connection

    MAO ZHAOYONG / WANG YICHEN / SHEN JUNGE et al. | European Patent Office | 2023

    Free access