An expressway traffic flow parameter prediction method and a system based on a gated neural network

Abstract

The invention relates to an expressway traffic flow parameter prediction method and a system based on a gated neural network GRU. The method comprises the following steps: according to the high-speedroute information of the collected data and the longitude and latitude information of a toll station of a section, the research section data is initially screened, then the abnormal data is cleaned according to the manifestation of the abnormal data, and then the velocity time series is calculated in a certain time period, and then the missing data is filled in the missing time series, the filledspeed time series data is divided into training data and test data, and the traffic flow prediction model is obtained by training the training data, finally, the error analysis is carried out by usingthe predicted data and test data. The invention utilizes the advantage of GRU long-time memory data characteristics to obtain higher prediction accuracy, relatively less prediction model parameters and good portability, and can provide technical support for traffic guidance and traffic accident management and dispatching of traffic management departments.

Description

technical field [0001] The invention relates to the technical field of traffic prediction, in particular to a method and system for predicting traffic flow parameters of expressways based on a gated neural network. Background technique [0002] In recent years, with the rapid development of the transportation industry, the communication between regions has been continuously strengthened, but the traffic jams and traffic accidents on the expressways have occurred frequently, which has brought reasonable decision-making management to the traffic management department. challenge. [0003] Intelligent Transport System (Intelligent Transport System, ITS), as an efficient integrated transportation and management system, plays an irreplaceable role in dealing with traffic congestion and traffic accidents. As an important part of the intelligent transportation system, traffic flow forecasting can provide decision-making basis for the management department and improve the efficiency...

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is to provide a method and system for predicting expressway traffic flow parameters based on gated neural network, so as to solve the problem of inaccurate expressway traffic flow prediction in the prior art

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