A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model

Transportation Research Part C: Emerging Technologies

Volumn 43, Issue , 2014, Pages 65-78

  Zhang, Yanru ^a   Zhang, Yunlong ^b   Haghani, Ali ^a  

^a UNIVERSITY OF MARYLAND   (United States)

^b Department of Electrical and Computer Engineering   (United States)

Author keywords

GARCH; GJR GARCH; Model decomposition; Short term forecasting; Spectral analysis; Traffic flow; Volatility analysis

Indexed keywords

ADVANCED TRAVELER INFORMATION SYSTEMS; AUTOREGRESSIVE MOVING AVERAGE MODEL; DECOMPOSITION; FORECASTING; HIGHWAY TRAFFIC CONTROL; INFORMATION MANAGEMENT; INTELLIGENT SYSTEMS; SPECTRUM ANALYSIS; STREET TRAFFIC CONTROL; UNCERTAINTY ANALYSIS;

GARCH; GJR-GARCH; MODEL DECOMPOSITION; SHORT-TERM FORECASTING; TRAFFIC FLOW; VOLATILITY ANALYSIS;

ADVANCED TRAFFIC MANAGEMENT SYSTEMS;

ACCURACY ASSESSMENT; ADVANCED TRAVELER INFORMATION SYSTEM; DECOMPOSITION ANALYSIS; FORECASTING METHOD; RELIABILITY ANALYSIS; SPECTRAL ANALYSIS; TRAFFIC MANAGEMENT; TRANSPORTATION SYSTEM;

HOUSTON; TEXAS; UNITED STATES;

EID: 84902550168     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2013.11.011     Document Type: Article

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