Overview of Traffic Flow Hybrid ANN Forecasting Algorithm Study

摘要：

ANN is the core of the 2~(rd) and 3~(rd) generation traffic flow forecasting algorithm. In order to master the traffic flow forecasting tendency comprehensively, this paper studied every kind of hybrid artificial neural network forecasting algorithms in detail, including ARIMA ANN model, fuzzy ANN model, GA ANN model, Chaos ANN model, Wavelet Analysis Model, Principal Component Analysis ANN model and Particle Swarm Optimization ANN model. First it abstracted those algorithm flows into common form, then made general network structure, and analyzed every kind networks virtues and shortcomings, at last, proposed traffic flow prediction developing tendency in future.

关键词： ITS traffic flow forecasting hybrid ANN ARIMA FNN GA chaos PSO

作者: L.D.Zhang L.Jia W.X.Zhu

作者单位: Control Science & Engineering School Shandong University, Jinan, 250062, China Shandong Computer Sci Control Science & Engineering School Shandong University, Jinan, 250062, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 615-619

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）