Method for selecting state vector in nonparametric regression short-time traffic flow prediction
A short-term traffic flow and non-parametric regression technology, which is applied in traffic control systems, road vehicle traffic control systems, instruments, etc., can solve the problems of lack of research on prediction effects and unsatisfactory prediction effects, and achieve shortened operation Time, the effect of improving the prediction accuracy
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[0040] In order to make the objectives, technical solutions and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.
[0041] In order to solve the above problems, improve the prediction accuracy, shorten the running time, and meet the needs of practical applications, the embodiment of the present invention provides a method for selecting a state vector in short-term traffic flow prediction by non-parametric regression.
[0042] see figure 1, nonparametric regression is a data-driven heuristic forecasting mechanism that predicts future values by searching historical databases for data similar to current observations. It can usually be divided into five components: selection of historical data, generation of sample database, definition of data similarity, K-nearest neighbor matching and prediction method. When using non-parametric regression to predict shor...
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