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Traffic Flow Prediction Model for Large-Scale Road Network Based on Cloud Computing
2014
Mathematical Problems in Engineering
To increase the efficiency and precision of large-scale road network traffic flow prediction, a genetic algorithm-support vector machine (GA-SVM) model based on cloud computing is proposed in this paper, which is based on the analysis of the characteristics and defects of genetic algorithm and support vector machine. In cloud computing environment, firstly, SVM parameters are optimized by the parallel genetic algorithm, and then this optimized parallel SVM model is used to predict traffic flow.
doi:10.1155/2014/926251
fatcat:mhcab47swfebnpxtipk6vqzqti