@article{ref1,
title="Highway traffic flow prediction model construction based on the gray theory and BP neural network",
journal="Computational intelligence and neuroscience",
year="2022",
author="Jiang, Zaiyang",
volume="2022",
number="",
pages="e1120491-e1120491",
abstract="The short-term traffic flow prediction and modeling of highways are the core content and important foundation of highway management decision-making support systems. It is of great significance to improving the level of highway management. Based on the macrodynamic traffic flow model, this article establishes a method for establishing a highway traffic flow prediction model based on the BP neural network theory and gray theory. We collected and carry out modeling and prediction of highway traffic flow data near a certain station. It is learned from the prediction results that the traffic flow prediction model based on the BP neural network and gray theory has a high degree of reliability.<p /> <p>Language: en</p>",
language="en",
issn="1687-5265",
doi="10.1155/2022/1120491",
url="http://dx.doi.org/10.1155/2022/1120491"
}