Short-term traffic flow prediction method based on space-time characteristic analysis

Abstract

The invention relates to a short-term traffic flow prediction method based on space-time characteristic analysis. The method is applied to road traffic control, is a core part of an intelligent transportation system and mainly relates to three core technology parts, that is, traffic flow collection and pretreatment, data sample optimization and traffic flow prediction. The traffic flow collectionand pretreatment technology provides historical experimental data, stores prediction data and exports real-time comparison data; the data sample optimization technology obtains high-quality training set samples by carrying out processing through an OPTICS clustering method and based on traffic flow space-time correlation properties; and the traffic flow prediction technology constructs a short-term traffic flow prediction mode with a SVM being a carrier based on the training samples, optimizes key parameters therein through a BFOA algorithm to improve model performance, and realizes real-timeand accurate traffic flow prediction, thereby facilitating a road traffic management system to allocate and utilize road resources effectively, relieving traffic jam, improving operating efficiency and facilitating trip of residents.

Description

technical field [0001] The invention relates to a short-term traffic flow prediction method based on spatio-temporal characteristic analysis, which belongs to the technical field of urban intelligent traffic management. Background technique [0002] With the acceleration of urbanization, intelligent traffic management technology is more and more widely used in practical projects such as urban road traffic management, vehicle transportation guidance, and residents' travel planning, making transportation and residents' travel gradually intelligent, dynamic and informatized . The core basic part of this technology is the dynamic analysis and prediction of short-term traffic flow. This technology has played an indispensable role in the field of traffic engineering. The accurate prediction of real-time traffic flow provides great benefits for traffic management and guidance, enabling the intelligent transportation system to give full play to its efficient, convenient, and fast p...

AI Technical Summary

Problems solved by technology

However, the quality of traffic flow forecasting mainly depends on two issues: first, the quality of data sources, and second, the flaws of traffic flow forecasting models

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