A novel self-organizing fuzzy rule-based system for modelling traffic flow behaviour

Expert Systems with Applications

Volumn 36, Issue 10, 2009, Pages 12167-12178

  Quek, C ^a   Pasquier, M ^a   Lim, B ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Automatic knowledge extraction; Fuzzy rule based system; Self organizing network; Traffic flow modelling

Indexed keywords

ALTERNATIVE METHODS; AUTOMATIC KNOWLEDGE EXTRACTION; BACKPROPAGATION LEARNING; FEED-FORWARD NEURAL NETWORK; FOCUS OF ATTENTION; FUZZY KNOWLEDGE; FUZZY RULE-BASED SYSTEM; FUZZY-NEURAL NETWORK; HIGHWAY TRAFFIC; MICROSCOPIC POINTS; NEURO-FUZZY RULES; NEUROFUZZY SYSTEM; RESEARCH EFFORTS; RESTRICTION METHODS; ROAD TRAFFIC; SAMPLE DATA; SELF-ORGANIZING FUZZY; SELF-ORGANIZING NETWORK; STATISTICAL REGRESSION MODEL; TRAFFIC CHARACTERISTICS; TRAFFIC FLOW; TRAFFIC FLOW MODELLING; TRANSPORTATION PLANNING; TRANSPORTATION SYSTEM; TRUTH VALUES;

FUZZY NEURAL NETWORKS; FUZZY RULES; FUZZY SYSTEMS; HIGHWAY TRAFFIC CONTROL; MATHEMATICAL MODELS; REGRESSION ANALYSIS; TRAFFIC SURVEYS; TRANSPORTATION;

FUZZY LOGIC;

EID: 69249214296     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.03.048     Document Type: Article

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