Traffic forecasting using least squares support vector machines

Transportmetrica

Volumn 5, Issue 3, 2009, Pages 193-213

  Zhang, Yang ^a   Liu, Yuncai ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Least squares support vector machines (LS SVMs); State space; Traffic forecasting; Travel time index (TTI)

Indexed keywords

COMPUTATIONAL INTELLIGENCE TECHNIQUES; EFFECTIVE MANAGEMENT; GENERALISATION; GLOBAL MINIMA; INTELLIGENT TRANSPORTATION SYSTEMS; LEAST SQUARES SUPPORT VECTOR MACHINES; MEAN ABSOLUTE PERCENTAGE ERROR; NON-PARAMETRIC TECHNIQUES; PERCENTAGE ERROR; STABILITY AND ROBUSTNESS; STATE SPACE; STATE SPACE APPROACH; TRAFFIC DATA; TRAFFIC FORECASTING; TRAFFIC PARAMETERS; TRAVEL TIME; TRAVEL TIME INDEX (TTI); WEAK REGULARITY;

ERRORS; FORECASTING; INTELLIGENT SYSTEMS; SUPPORT VECTOR MACHINES; TIME SERIES; TRAFFIC CONTROL; VECTOR SPACES; VECTORS;

TIME SERIES ANALYSIS;

EID: 77956397184     PISSN: 18128602     EISSN: None     Source Type: Journal    
DOI: 10.1080/18128600902823216     Document Type: Article

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