Incident detection algorithm based on partial least squares regression

Transportation Research Part C: Emerging Technologies

Volumn 16, Issue 1, 2008, Pages 54-70

  Wang, Wei ^a   Chen, Shuyan ^a,b   Qu, Gaofeng ^c  

^a SOUTHEAST UNIVERSITY   (China)

^b NANJING NORMAL UNIVERSITY   (China)

^c NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Automatic incident detection (AID); Multi layer feed forward neural network (MLF); Partial least squares regression (PLSR); Receiver operating characteristic (ROC) analysis; Support vector machine (SVM); The area under the ROC (AUC)

Indexed keywords

ALGORITHMS; FEEDFORWARD NEURAL NETWORKS; LEAST SQUARES APPROXIMATIONS; MULTILAYER NEURAL NETWORKS; REGRESSION ANALYSIS;

AUTOMATIC INCIDENT DETECTION (AID); INCIDENT DETECTION ALGORITHM; PARTIAL LEAST SQUARES REGRESSION; RECEIVER OPERATING CHARACTERISTIC (ROC);

SUPPORT VECTOR MACHINES;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; DATA SET; DETECTION METHOD; LEAST SQUARES METHOD; MODELING; MULTIVARIATE ANALYSIS; REGRESSION ANALYSIS; TRAFFIC CONGESTION;

ASIA; CALIFORNIA; EURASIA; NORTH AMERICA; SINGAPORE [SOUTHEAST ASIA]; SOUTHEAST ASIA; UNITED STATES;

EID: 38649102211     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2007.06.005     Document Type: Article

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