Traffic Flow Prediction Method and Equipment

Abstract

The invention provides a traffic flow prediction method and device. The method comprises the following steps of acquiring historical traffic flow data of a plurality of first entrance lanes corresponding to an intersection to be predicted; correcting the historical traffic flow data of a second entrance lane corresponding to the intersection to be predicted according to historical traffic flow data of each first entrance lane, and acquiring the coerced historical traffic flow data of the second entrance lane; and according to the corrected historical traffic flow data of the second entrance lane and the historical traffic flow data of each first entrance lane, predicting the traffic flow of the intersection to be predicted by utilizing a pre-trained multilayer circulation neural network model. The method disclosed by the embodiment of the invention improves the accuracy of traffic flow prediction.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, in particular to a traffic flow prediction method and equipment. Background technique [0002] As one of the core contents of Intelligent Transport System (ITS), intelligent traffic control and traffic guidance system has always been a hot topic in ITS research. The realization of urban traffic control and guidance system will effectively reduce traffic congestion and urban environmental pollution, increase road capacity and improve traffic safety. Traffic control and traffic guidance systems need to make real-time predictions of the traffic flow at the next decision-making moment and even several moments later when the control decision is made. The quality of traffic flow forecasting is directly related to the effect of traffic control and guidance. [0003] In the actual implementation of traffic control schemes, there are situations where traffic flow collection is inaccur...

AI Technical Summary

Problems solved by technology

[0003] In the actual execution of the traffic control scheme, there are situations where the traffic flow collection is inaccurate due to the failure of the intersection detector

Due to the lack and inaccuracy of traffic flow data, the predicted traffic flow is inaccurate, which leads to poor implementation of traffic control programs and affects urban traffic.

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