Forecasting the short-term traffic flow in the intelligent transportation system based on an inertia nonhomogenous discrete gray model
type: Item
instance of: scholarly article
title: Forecasting the short-term traffic flow in the intelligent transportation system based on an inertia nonhomogenous discrete gray model
zbMATH Open document ID: 1373.90016
DOI: 10.1155/2017/3515272
author: Huiming Duan
author: Xinping Xiao
author: Lingling Pei
published in: Complexity
publication date: 2017-10-26T00:00:00Z
review text: Summary: The traffic-flow system has basic dynamic characteristics. This feature provides a theoretical basis for constructing a reasonable and effective model for the traffic-flow system. The research on short-term traffic-flow forecasting is of wide interest. Its results can be applied directly to advanced traffic information systems and traffic management, providing real-time and effective traffic information. According to the dynamic characteristics of traffic-flow data, this paper extends the mechanical properties, such as distance, acceleration, force combination, and decomposition, to the traffic-flow data vector. According to the mechanical properties of the data, this paper proposes four new models of structural parameters and component parameters, inertia nonhomogenous discrete gray models (referred to as INDGM), and analyzes the important properties of the model. This model examines the construction of the inertia nonhomogenous discrete gray model from the mechanical properties of the data, explaining the classic NDGM modeling mechanism in the meantime. Finally, this paper analyzes the traffic-flow data of Whitemud Drive in Canada and studies the relationship between the inertia model and the traffic-flow state according to the data analysis of the traffic-flow state. A simulation accuracy and prediction accuracy of up to 0.0248 and 0.0273, respectively, are obtained.
Mathematics Subject Classification ID: 90B06
Mathematics Subject Classification ID: 93A30
zbMATH DE Number: 6798502
zbMATH Keywords: short-term traffic flow
zbMATH Keywords: intelligent transportation system
zbMATH Keywords: inertia nonhomogenous discrete gray model
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2017/3515272
OpenAlex ID: W2731400027
Wikidata QID: Q59142886
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description: scientific article; zbMATH DE number 6798502