Multi-population genetic neural network model for short-term traffic flow prediction at intersections

Acta Geodaetica et Cartographica Sinica

Volumn 38, Issue 4, 2009, Pages 363-368

  Liu, Hanli ^a   Zhou, Chenghu ^a   Zhu, Axing ^a,b   Li, Lin ^c  

^a INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

^c WUHAN UNIVERSITY   (China)

Author keywords

Genetic algorithm; Multi population; Short term traffic flow at intersections; Traffic flow predictions BP neural network

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; GENETIC ALGORITHM; INTELLIGENT TRANSPORTATION SYSTEM; OPTIMIZATION; PREDICTION; REAL TIME; ROAD TRANSPORT; TRAFFIC MANAGEMENT;

BP NETWORKS; BP NEURAL NETWORK; BP NEURAL NETWORKS; GENETIC NEURAL NETWORK; INTELLIGENT TRANSPORTATION SYSTEMS; KEY ISSUES; MULTI-POPULATION; NONLINEAR FEATURES; NONLINEAR PROBLEMS; OPTIMIZED STRUCTURES; REAL TIME CHARACTERISTICS; SHORT-TERM TRAFFIC FLOW; SHORT-TERM TRAFFIC FLOW AT INTERSECTIONS; TRAFFIC FLOW; TRAFFIC FLOW PREDICTION; TRAFFIC PRESSURE;

BACKPROPAGATION ALGORITHMS; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; INTERSECTIONS; LINEARIZATION; NEURAL NETWORKS; TRAFFIC SURVEYS; VEHICLE LOCATING SYSTEMS;

TRAFFIC CONTROL;

EID: 70049098598     PISSN: 10011595     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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