Data mining-based adaptive regression for developing equilibrium speed-density relationships

Canadian Journal of Civil Engineering

Volumn 37, Issue 3, 2010, Pages 389-400

  Sun, Lu ^a,b   Yang, Jun ^a   Mahmassani, Hani ^c   Gu, Wenjun ^b   Kim, Bum Jin ^b  

^a CATHOLIC UNIVERSITY OF AMERICA   (United States)

^b SOUTHEAST UNIVERSITY   (China)

^c NORTHWESTERN UNIVERSITY   (United States)

Author keywords

Adaptive regression; Data mining; Genetic algorithm; Knots; Nonlinear optimization; Speed density relation; Traffic

Indexed keywords

ADAPTIVE REGRESSION; BASIS FUNCTIONS; DATA DRIVEN; EXISTING METHOD; FITTING MODEL; KNOTS; METHODOLOGICAL FRAMEWORKS; MODEL CONTINUITY; MODEL PARAMETERS; NON-LINEAR OPTIMIZATION; OBSERVED DATA; SPEED-DENSITY; SPEED-DENSITY RELATIONSHIPS; TRAFFIC DATA; TRAFFIC OPERATION; TRAFFIC SIMULATIONS;

COMPUTER SIMULATION; COMPUTER SOFTWARE; GENETIC ALGORITHMS; REGRESSION ANALYSIS; SPEED;

TRAFFIC CONTROL;

DATA MINING; GENETIC ALGORITHM; OPTIMIZATION; PARAMETERIZATION; PARSIMONY ANALYSIS; REGRESSION ANALYSIS; SOFTWARE; TRAFFIC MANAGEMENT;

EID: 77949337712     PISSN: 03151468     EISSN: None     Source Type: Journal    
DOI: 10.1139/L09-158     Document Type: Article

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