Traffic speed prediction and congestion source exploration: A deep learning method

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn 0, Issue , 2016, Pages 499-508

  Wang, Jingyuan ^a   Gu, Qian ^a   Wu, Junjie ^a   Liu, Guannan ^a   Xiong, Zhang ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

Convolutional neural network; Deep learning; Intelligent transportation systems; Spatio Temporal; Time series prediction

Indexed keywords

CONVOLUTION; DATA MINING; DEEP LEARNING; DEEP NEURAL NETWORKS; ERRORS; FORECASTING; HIGHWAY TRAFFIC CONTROL; INTELLIGENT SYSTEMS; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; RECURRENT NEURAL NETWORKS; SPEED;

CONVOLUTIONAL NEURAL NETWORK; INFLUENCE FUNCTIONS; INTELLIGENT TRANSPORTATION SYSTEMS; PREDICTIVE ACCURACY; REAL-LIFE APPLICATIONS; SPATIO TEMPORAL; TIME SERIES PREDICTION; TRAFFIC INFORMATION;

TRAFFIC CONGESTION;

EID: 85014568631     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2016.0061     Document Type: Conference Paper

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