Abstract
With the rapid development of China’s economy and the deepening of urbanization, the burden of urban traffic is becoming more and heavier. Scientific traffic planning and guidance has become an important research content of urban traffic management departments. The first day before the guidance of rational planning is the scientific and effective prediction of traffic flow. This chapter mainly studies and analyzes the wavelet neural network, and expounds the role of traffic flow prediction in intelligent transportation; the wavelet neural network model is studied in detail. At present, the wavelet neural network can forecast the urban traffic flow accurately and scientifically. I hope that the author’s research can give short-term traffic flow prediction researchers a reference.
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Yang, T., Jia, S. (2021). Research on Short-Term Flow Forecast of Intelligent Traffic. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Advances in Artificial Intelligence and Security. ICAIS 2021. Communications in Computer and Information Science, vol 1422. Springer, Cham. https://doi.org/10.1007/978-3-030-78615-1_57
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DOI: https://doi.org/10.1007/978-3-030-78615-1_57
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