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- W1801809520 abstract "This paper focuses on the problems of short-term traffic flow forecasting. The main goal is to put forward traffic correlation model and real-time correction algorithm for traffic flow forecasting. Traffic correlation model is established based on the temporal-spatial-historical correlation characteristic of traffic big data. In order to simplify the traffic correlation model, this paper presents correction coefficients optimization algorithm. Considering multistate characteristic of traffic big data, a dynamic part is added to traffic correlation model. Real-time correction algorithm based on Fuzzy Neural Network is presented to overcome the nonlinear mapping problems. A case study based on a real-world road network in Beijing, China, is implemented to test the efficiency and applicability of the proposed modeling methods." @default.
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- W1801809520 date "2015-01-01" @default.
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- W1801809520 title "Real-Time Corrected Traffic Correlation Model for Traffic Flow Forecasting" @default.
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- W1801809520 doi "https://doi.org/10.1155/2015/348036" @default.
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