A two-stage short-term traffic flow prediction method based on AVL and AKNN techniques

Author:

Meng Meng,Shao Chun-fu,Wong Yiik-diew,Wang Bo-bin,Li Hui-xuan

Publisher

Springer Science and Business Media LLC

Subject

Metals and Alloys,General Engineering

Reference29 articles.

1. SHEN W, WYNTER L. Real-time traffic prediction using GPS data with low sampling rates: A hybrid approach [C]// 91st Annual Meeting of the Transportation Research Board. Washington, D.C: TRB, 2012.

2. GUO F, KRISHNAN R, POLAK J W. Short-term traffic prediction under normal and abnormal traffic conditions on urban roads [C]// 91st Annual Meeting of the Transportation Research Board. Washington, D.C: TRB, 2012.

3. WU Y J, CHEN F, LU C T, SMITH B L, CHEN Y. Traffic flow prediction for urban network using spatiotemporal random effects model [C]// 91st Annual Meeting of the Transportation Research Board. Washington, D.C: TRB, 2012.

4. XIA J X, NIE Q H, HUANG W, QIAN Z D. Reliable short-term traffic flow forecasting for urban roads using multivariate GARCH model [C]// 92nd Annual Meeting of the Transportation Research Board. Washington, D.C: TRB, 2013.

5. SMITH B L, WILLIIAMS B M, OSWALD R K. Comparison of parametric and nonparametric models for traffic flow forecasting [J]. Transportation Research Part C, 2002, 10(4): 303–321.

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