Automatic determination of traffic accidents based on KMC-based attribute weighting

Neural Computing and Applications

Volumn 21, Issue 6, 2012, Pages 1271-1279

  Polat, Kemal ^a   Durduran, S S ^b  

^a Bartn University   (Turkey)

^b SELCUK UNIVERSITY   (Turkey)

Author keywords

Adaptive network based fuzzy inference system; Artificial neural network; Geographical information systems (GIS); K means clustering based attribute weighting; Prediction; Traffic accident analysis

Indexed keywords

ACCIDENT ANALYSIS; ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; ANFIS CLASSIFIER; ATTRIBUTE WEIGHTING; AUTOMATIC DETERMINATION; CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; CLASSIFIER ALGORITHMS; DATA PREPROCESSING; DATA SETS; DYNAMIC SEGMENTATION; GEOGRAPHICAL INFORMATION SYSTEMS; K-MEANS CLUSTERING; LINEARLY SEPARABLE; MOTOR VEHICLE; MOTOR VEHICLE ACCIDENTS; PREDICTION ACCURACY; RECEIVER OPERATING CHARACTERISTICS; RISK FACTORS; WEATHER CONDITIONS; WEIGHTING METHODS; WEIGHTING PROCESS;

ALGORITHMS; CLASSIFICATION (OF INFORMATION); FORECASTING; GEOGRAPHIC INFORMATION SYSTEMS; METEOROLOGY; NEURAL NETWORKS; VEHICLES;

HIGHWAY ACCIDENTS;

EID: 84865658230     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-011-0559-9     Document Type: Article

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