Bayesian network methods for traffic flow forecasting with incomplete data

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3201, Issue , 2004, Pages 419-428

  Sun, Shiliang ^a   Zhang, Changshui ^a   Yu, Guoqiang ^a   Lu, Naijiang ^b   Xiao, Fei ^b  

^a TSINGHUA UNIVERSITY   (China)

^b Shanghai Cogent Biometrics Identification Technology Co   (China)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; DATA REDUCTION; FORECASTING; PRINCIPAL COMPONENT ANALYSIS; PROBLEM SOLVING; TRANSPORTATION; ALGORITHMS; ARTIFICIAL INTELLIGENCE; GAUSSIAN DISTRIBUTION; INTELLIGENT SYSTEMS; LEARNING SYSTEMS; POLLUTION CONTROL; PROBABILITY DISTRIBUTIONS;

BAYESIAN NETWORK METHODS; INTELLIGENT TRANSPORTATION SYSTEM (ITS); TRAFFIC FLOW FORECASTING; TRAFFIC VOLUME; BAYESIAN NETWORK MODELS; CAUSAL RELATIONSHIPS; COMPETITIVE EM ALGORITHMS; GAUSSIAN MIXTURE MODEL; INTELLIGENT TRANSPORTATION SYSTEMS; JOINT PROBABILITY DISTRIBUTIONS;

TRAFFIC CONTROL; BAYESIAN NETWORKS;

EID: 22944450043     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30115-8_39     Document Type: Conference Paper

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