The study on the application of fuzzy clustering analysis in the dynamic identification of road traffic state

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Volumn 2, Issue , 2003, Pages 1449-1452

  Jiang, Gui Yan ^a   Wang, Jiang Feng ^a   Zhang, Xiao Dong ^a   Gang, Long Hui ^a  

^a JILIN UNIVERSITY   (China)

Author keywords

Dynamic identification; Fuzzy clustering; Road traffic state

Indexed keywords

FUZZY CLUSTERING; INTELLIGENT SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; ROADS AND STREETS;

CLUSTERING APPROACH; DYNAMIC IDENTIFICATION; FUZZY CLUSTERING ANALYSIS; FUZZY CLUSTERING METHOD; ROAD TRAFFIC; STATE IDENTIFICATION; TRAFFIC CHARACTERISTICS; TRAFFIC DATA;

HIGHWAY TRAFFIC CONTROL;

EID: 84937144180     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2003.1252723     Document Type: Conference Paper

References (4)

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2. Jiuh-Biing Sheu, A fuzzy clustering-based approach to automatic freeway incident detection and characterization. Fuzzy Sets and Systems 128 (2002):379-380.
3. YAO Hong-wei. Fuzzy clustering analysis for optimizing the structure of fuzzy neural network. HaerBinT Communication of High Technology, 2000, 10:64-65.
4. Prasad V. Palacharla Peter C. Nelson, Application of fuzzy logic and neural networks for dynamic travel time estimationt International Transactions in Operational Research 6 (1999): 145-160.