Understanding characteristics in multivariate traffic flow time series from complex network structure

Physica A: Statistical Mechanics and its Applications

Volumn 477, Issue , 2017, Pages 149-160

  Yan, Ying ^a   Zhang, Shen ^b   Tang, Jinjun ^c   Wang, Xiaofei ^d  

^a CHANG'AN UNIVERSITY   (China)

^b HARBIN INSTITUTE OF TECHNOLOGY   (China)

^c CENTRAL SOUTH UNIVERSITY   (China)

^d SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Complex network; Principal component analysis; Statistical properties; Traffic flow; Traffic states

Indexed keywords

COMPLEX NETWORKS; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY DISTRIBUTIONS; STREET TRAFFIC CONTROL; TIME SERIES; TIME SERIES ANALYSIS;

CUMULATIVE PROBABILITIES; CUMULATIVE PROBABILITY DISTRIBUTION; DYNAMIC CHARACTERISTICS; MULTIVARIATE TIME SERIES; NETWORK STRUCTURE ENTROPIES; STATISTICAL PROPERTIES; TRAFFIC FLOW; TRAFFIC STATE;

TRAFFIC CONGESTION;

EID: 85014495288     PISSN: 03784371     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.physa.2017.02.040     Document Type: Article

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