Partial differential grey model based on control matrix and its application in short-term traffic flow prediction

DOI10.1016/J.APM.2022.12.012zbMath1515.90043OpenAlexW4313201657MaRDI QIDQ6100045

Huiming Duan, Guan Wang

Publication date: 21 June 2023

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2022.12.012

zbMATH Keywords

partial differential equationgrey prediction modelshort-term traffic flow predictionintelligent traffic systemspatiotemporal characteristics of traffic flow

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Inference from stochastic processes (62M99) Traffic problems in operations research (90B20) Mathematical modeling or simulation for problems pertaining to systems and control theory (93-10)

Related Items (2)

The fractional neural grey system model and its application ⋮ Impact of driving prediction on headway and velocity in car-following model under V2X environment

Cites Work

• A new-structure grey Verhulst model: development and performance comparison
• Prediction of China's sulfur dioxide emissions by discrete grey model with fractional order generation operators
• A novel car-following inertia gray model and its application in forecasting short-term traffic flow
• An improved seasonal rolling grey forecasting model using a cycle truncation accumulated generating operation for traffic flow
• Short-term traffic flow prediction based on a hybrid optimization algorithm

This page was built for publication: Partial differential grey model based on control matrix and its application in short-term traffic flow prediction