Mining for similarities in urban traffic flow using wavelets

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Volumn , Issue , 2007, Pages 119-124

  Cheng, Yudong ^b   Zhang, Yi ^a,b   Hu, Jianming ^a,b   Li, Li ^a,b  

^a IEEE

^b TSINGHUA UNIVERSITY   (China)

Author keywords

Self Organizaing Maps (SOM); Similarity; Traffic flow prediction; Urban traffic flow; Wavelet

Indexed keywords

CHLORINE COMPOUNDS; CONFORMAL MAPPING; DISCRETE WAVELET TRANSFORMS; ELECTRIC FAULT CURRENTS; INTELLIGENT SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; MINE TRANSPORTATION; MINING; ROADS AND STREETS; TRAFFIC SURVEYS; TRANSPORTATION; VEHICLE LOCATING SYSTEMS; WAVELET TRANSFORMS;

BEIJING , CHINA; FEATURE SETS; FLOW FEATURES; INTELLIGENT TRANSPORTATION SYSTEMS; MINING METHODS; MULTI-LEVEL; OUTLIER DETECTION; ROAD LINKS; SELF-ORGANIZAING MAPS (SOM); SELF-ORGANIZING MAP; SIMILARITY; TRAFFIC FLOW PREDICTION; TRAFFIC FLOWING; TYPICAL URBAN; URBAN TRAFFIC; URBAN TRAFFIC FLOW; URBAN TRANSPORTATION; WAVELET;

FEATURE EXTRACTION;

EID: 49249084930     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2007.4357769     Document Type: Conference Paper

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