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.
Research on a short-term traffic flow prediction method
Fifth International Conference on Artificial Intelligence and Computer Science (AICS 2023) ; 2023 ; Wuhan, China
Proc. SPIE ; 12803
16.10.2023
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
The Urban Road Short-Term Traffic Flow Prediction Research
Trans Tech Publications | 2013
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