Adaptive hybrid fuzzy rule-based system approach for modeling and predicting urban traffic flow

Transportation Research Part C: Emerging Technologies

Volumn 16, Issue 5, 2008, Pages 554-573

  Dimitriou, Loukas ^a   Tsekeris, Theodore ^a,b   Stathopoulos, Antony ^a  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

^b Centre for Planning and Economic Research   (Greece)

Author keywords

Fuzzy rule based systems; Global optimization; Short term forecasting; Traffic flow modeling; Urban networks

Indexed keywords

FORECASTING; FUZZY INFERENCE; FUZZY RULES; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; MEMBERSHIP FUNCTIONS;

OFF-LINE APPLICATIONS; ON-LINE APPLICATIONS; SHORT-TERM FORECASTING; STATISTICAL TECHNIQUES; TRAFFIC FLOW MODELING; URBAN ARTERIAL NETWORKS; URBAN NETWORKS; URBAN TRAFFIC FLOW;

STREET TRAFFIC CONTROL;

ADAPTIVE MANAGEMENT; FORECASTING METHOD; FUZZY MATHEMATICS; GENETIC ALGORITHM; MODELING; MULTIVARIATE ANALYSIS; OPTIMIZATION; TRAFFIC MANAGEMENT; TRANSPORTATION PLANNING; URBAN TRANSPORT;

EID: 45849138568     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2007.11.003     Document Type: Article

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