Short-time prediction method and system of traffic flow data

A prediction method and traffic flow technology, applied in the field of intelligent transportation systems, can solve the problems of not considering the interaction and memory of actual traffic data, and the inaccurate prediction of traffic flow data, etc.

Inactive Publication Date: 2011-04-27
BEIJING STONE INTELLIGENT TRANSPORTATION SYST INTEGRATION
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Problems solved by technology

The disadvantage of the traditional K-nearest neighbor non-parametric regression prediction method is that it does not take into account the mutual influence and memory in the actual traffic data, which leads to the inaccuracy of the traditional K-nearest neighbor non-parametric regression prediction method in predicting traffic flow data

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  • Short-time prediction method and system of traffic flow data
  • Short-time prediction method and system of traffic flow data
  • Short-time prediction method and system of traffic flow data

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Embodiment Construction

[0071] An embodiment of the present invention provides a method for obtaining historical standard data of traffic flow, so as to provide high-precision and reliable historical standard data of traffic flow for short-term traffic flow prediction methods.

[0072] At present, the mining of a large amount of historical traffic state data is mainly used for theoretical research and decision support, and the conclusion of regularity is not used in short-term traffic prediction methods. The embodiment of the present invention provides a method for obtaining the historical standard data of traffic flow, grouping a large number of original traffic flow time series data into sets, and adopting different methods for each traffic flow time series data in each set according to the busy period and idle period Processing, the obtained basic sequence data is used as the historical standard data of traffic flow.

[0073] Considering the different traffic patterns in different periods of the d...

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Abstract

The invention relates to an intelligent traffic system, in particular to short-time prediction method and system of traffic flow data, which are used for improving the prediction accuracy of the traffic flow data and are suitable for real-time traffic prediction. The short-time prediction method of traffic flow data, which is provided by the invention, improves the accuracy of short-time traffic flow prediction and acquires optimal K and l values and corresponding predicted traffic flow data by further adding a state pattern vector to a traditional K adjacent nonparametric regression prediction method and adopting search methods of variable adjacent numbers K and match numbers l.

Description

technical field [0001] The invention relates to an intelligent transportation system, in particular to a short-term prediction method and system for traffic flow data. Background technique [0002] With the continuous deepening of intelligent transportation system (ITS, InteLLigent Transport Systems) research and the wide application of intelligent transportation system technology, traffic management is gradually becoming intelligent, dynamic and informatized. Traffic managers and researchers can obtain real-time traffic status data and accumulate a large amount of historical data on this basis. These dynamic information provide important data support for traffic managers and traffic researchers. However, whether it is to achieve the most effective management of urban traffic or to provide road users with more meaningful traffic information, it is objectively required to know the evolution trend of traffic conditions in a short period of time based on real-time traffic info...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01
Inventor 关积珍商朋见刘静于建玲王贞君张苏南李军
Owner BEIJING STONE INTELLIGENT TRANSPORTATION SYST INTEGRATION
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