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What are the traffic prediction algorithms in bigdata?

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Because traffic flow is stochastic and nonlinear, nonparametric models such as Random Forest (RF) Algorithm, Bayesian Algorithm (BA) approach, K-Nearest Neighbor (KNN), Principal Component Analysis (PCA), and Support Vector Algorithms have recently been employed in traffic flow prediction.
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There are several types of machine learning algorithms that can be used for traffic prediction, including regression, time-series analysis, and artificial neural networks. Regression models use historical traffic data to predict future traffic conditions based on past trends.
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There are several types of machine learning algorithms that can be used for traffic prediction, including regression, time-series analysis, and artificial neural networks. Regression models use historical traffic data to predict future traffic conditions based on past trends.
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