A data mining based approach for travel time prediction in freeway with non-recurrent congestion

Neurocomputing

Volumn 133, Issue , 2014, Pages 74-83

  Li, Chi Sen ^a   Chen, Mu Chen ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

Classification and regression tree; K means; Neural networks; Non recurrent congestion; Travel time prediction

Indexed keywords

DATA MINING; DECISION TREES; FORECASTING; NEURAL NETWORKS; TIME VARYING CONTROL SYSTEMS; TOLL HIGHWAYS; TRAVEL TIME;

CLASSIFICATION AND REGRESSION TREE; ELECTRONIC TOLL COLLECTION SYSTEMS; K-MEANS; K-MEANS CLUSTERING; MEAN ABSOLUTE PERCENTAGE ERROR; NON-RECURRENT CONGESTION; PREDICTION PERFORMANCE; TRAVEL TIME PREDICTION;

TRAFFIC CONGESTION;

ACCURACY; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; DATA MINING; DECISION TREE; KERNEL METHOD; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PREDICTION; PRIORITY JOURNAL; PROCESS DEVELOPMENT; TRAVEL TIME PREDICTION;

EID: 84894519931     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2013.11.029     Document Type: Article

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