Estimation of free flow speed and critical density in a segmented freeway using missing data and Monte Carlo-based expectation maximisation algorithm

IET Control Theory and Applications

Volumn 5, Issue 1, 2011, Pages 123-130

  Ramezani, A ^a   Moshiri, B ^a   Abdulhai, B ^b   Kian, A R ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

^b UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CONDITIONAL EXPECTATION; CRITICAL DENSITY; EM ALGORITHMS; EXPECTATION-MAXIMISATION; FREE FLOW SPEED; INCIDENT MANAGEMENT; KEY PARAMETERS; MAXIMUM LIKELIHOOD APPROACHES; MINNESOTA; MISSING DATA; ML ESTIMATE; MONTE CARLO; MONTE CARLO APPROACH; NETWORK AREA; NON-LINEAR; RAMP METERING; SECOND ORDERS; STATE-SPACE MODELS; STATISTICAL EFFICIENCY; TRAFFIC DATA; TRAFFIC FLOW; TRAFFIC FLOW CHARACTERISTICS;

ESTIMATION; HIGHWAY PLANNING; HIGHWAY TRAFFIC CONTROL; INFORMATION MANAGEMENT; MAXIMUM LIKELIHOOD ESTIMATION; MONTE CARLO METHODS; STOCHASTIC MODELS; TRAFFIC SURVEYS;

ALGORITHMS;

EID: 79551696990     PISSN: 17518644     EISSN: 17518652     Source Type: Journal    
DOI: 10.1049/iet-cta.2010.0016     Document Type: Article

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