A multimode dynamic short-term traffic flow grey prediction model of high-dimension tensors

DOI10.1155/2019/9162163zbMath1421.90047OpenAlexW2948159890WikidataQ114070457 ScholiaQ114070457MaRDI QIDQ2325212

Huiming Duan, Xin-ping Xiao

Publication date: 9 September 2019

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2019/9162163

Mathematics Subject Classification ID

Traffic problems in operations research (90B20)

Related Items (6)

Fractional Hausdorff grey model and its properties ⋮ The information priority of conformable fractional grey model ⋮ Research on a grey prediction model of population growth based on a logistic approach ⋮ A hybrid grey prediction model for small oscillation sequence based on information decomposition ⋮ Modeling method of the grey GM(1,1) model with interval grey action quantity and its application ⋮ A novel car-following inertia gray model and its application in forecasting short-term traffic flow

Cites Work

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• Forecasting crude oil consumption in China using a grey prediction model with an optimal fractional-order accumulating operator
• Forecasting the short-term traffic flow in the intelligent transportation system based on an inertia nonhomogenous discrete gray model
• A novel fractional grey system model and its application
• An improved seasonal rolling grey forecasting model using a cycle truncation accumulated generating operation for traffic flow
• Grey multivariable convolution model with new information priority accumulation
• The novel fractional discrete multivariate grey system model and its applications
• A self-adaptive intelligence gray prediction model with the optimal fractional order accumulating operator and its application

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