Short-time traffic flow prediction using chaos time series theory

Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/ Journal of Transportation Systems Engineering and Information Technology

Volumn 8, Issue 5, 2008, Pages 68-72

  Xue, Jie Ni ^a   Shi, Zhong Ke ^a  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

Author keywords

Chaotic prediction; Local polynomial approximation; Phase space reconstruction; Short term traffic flow

Indexed keywords

CHAOS THEORY; FORECASTING; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; PHASE SPACE METHODS; POLYNOMIAL APPROXIMATION; RESTORATION; TRAFFIC CONTROL; TRAFFIC SURVEYS; VEHICLE LOCATING SYSTEMS; TIME SERIES ANALYSIS;

CHAOS TIME SERIES; CHAOTIC PREDICTION; CHAOTIC TIME SERIES ANALYSES; EUCLIDEAN DISTANCES; INTELLIGENT TRANSPORTATION SYSTEMS; LOCAL POLYNOMIAL APPROXIMATION; NEIGHBORING POINTS; PHASE SPACE RECONSTRUCTION; PHASE-SPACE RECONSTRUCTIONS; POLYNOMIAL METHODS; PREDICTION ACCURACIES; PREDICTION MODELS; REAL TRAFFICS; RELATIVE ERRORS; SELECTION METHODS; SHORT-TERM TRAFFIC FLOW; TRAFFIC FLOW PREDICTIONS; TRAFFIC FLOWS; DONGGUAN; FORWARD PREDICTIONS; GUANGDONG PROVINCES; SHORT TERM TRAFFIC FLOW;

TIME SERIES ANALYSIS; FORECASTING;

EID: 55649085084     PISSN: 10096744     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

1. SHI Qi-xin, ZHENG Wei-zhong. Short2term traffic flow prediction methods comparison of road networks[J]. Journal of Traffic and Transportation Engineering. 2004, 4(4): 68-71.
2. LIU Jing, LI Liang, GUAN Wei, CAI Xiao-lei. Short-term prediction of traffic flow in Beijing ring road based on neural network[J]. Journal of Transportation Systems Engineering and Information Technology, 2005, 5(6): 110-115.
3. WANG Hai-yan, LU shan. Nonlinear Time Series Analysis and its Application[M]. Beijing: Science Publishing Company, 2006, 11
4. JIANG Hai-feng, MA Rui-jun, WEI Xue-ye, WEN Wei-gang. A method of rapidly identifying chaos characteristics of short-term traffic flow based on small-data-sets[J]. Journal of The China Railway Society. 2006, 28(2): 63-66. (in Chinese).
5. Kasim K, Levent S, Orhan S. Nonlinear time series prediction of O3 Concentration in Istanbul[J]. Atomospheric Environment, 2000, 34(8): 1267-1271.
6. Qingfang Meng, Yuhua Peng. A new local linear prediction model for chaotic time series[J]. PHYSICS LETTERS A. 2007, 370: 465-470.
7. Farmer J D, Sidorowich J J. Exploiting chaos to predict the future and reduce noise[C]//. Lee Y C Ed. Evolution, Learning and Cognition. Singapore: World Scientific, 1988, 277-330
8. Fraser A M. Information and entroy in strange attractors[J]. IEEE Trans. Inf. Theory, 1989, 35: 245-262
9. Holger Kantz, Thomas Schreiber. Nonliear Timer Series Analysis [M]. Cambridge University Press, 1997