Traffic flow prediction has a good guiding effect on traffic control. In response to the current inability of road traffic flow prediction methods to fully reveal the inherent laws of traffic flow, and considering the issue of fully considering spatiotemporal correlation in traffic flow prediction, this paper proposes an LSTM (Long Short-Term Memory) model based on Bayesian optimization. Experimental studies have shown that the LSTM model based on Bayesian optimization has good performance and high prediction accuracy.


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    Title :

    Research on a short-term traffic flow prediction method


    Contributors:

    Conference:

    Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023) ; 2023 ; Wuhan, China


    Published in:

    Proc. SPIE ; 12803


    Publication date :

    2023-10-16





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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