Forecasting urban traffic flow by SVR with continuous ACO

DOI10.1016/j.apm.2010.09.005zbMath1211.90048OpenAlexW2002644193MaRDI QIDQ534897

Yucheng Dong, Wei-Chiang Hong, Chien-Yuan Lai, Feifeng Zheng

Publication date: 10 May 2011

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

Full work available at URL: https://doi.org/10.1016/j.apm.2010.09.005

zbMATH Keywords

support vector regression (SVR)continuous ant colony optimization algorithms (CACO)inter-urban traffic forecastingSARIMAtraffic flow forecasting

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) General nonlinear regression (62J02) Approximation methods and heuristics in mathematical programming (90C59) Traffic problems in operations research (90B20)

Related Items

A developed stock price forecasting model using support vector machine combined with metaheuristic algorithms ⋮ Novel chaotic bat algorithm for forecasting complex motion of floating platforms ⋮ An improved seasonal rolling grey forecasting model using a cycle truncation accumulated generating operation for traffic flow

Cites Work

• Rainfall forecasting by technological machine learning models
• Electric load forecasting by support vector model
• Forecasting stock market movement direction with support vector machine
• Three improved neural network models for air quality forecasting
• A study of hybrid neural network approaches and the effects of missing data on traffic forecasting
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item