Distributed maximum likelihood estimation for flow and speed density prediction in distributed traffic detectors with Gaussian mixture model assumption

IET Intelligent Transport Systems

Volumn 6, Issue 2, 2012, Pages 215-222

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

^a UNIVERSITY OF TEHRAN   (Iran)

^b UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CONSENSUS FILTER; DISTRIBUTED SENSOR NETWORKS; EM ALGORITHMS; EXPECTATION-MAXIMISATION; GAUSSIAN MIXTURE MODEL; GAUSSIAN MIXTURES; INDUCTIVE LOOP DETECTORS; LOG LIKELIHOOD; MAXIMUM LIKELIHOOD ESTIMATOR; MINNESOTA; MODEL PARAMETERS; SPEED-DENSITY; SUFFICIENT STATISTICS; TRAFFIC DATA; TRAFFIC DETECTORS; TRAFFIC FLOW; TRAFFIC MEASUREMENTS; TRAFFIC SENSORS; TRAFFIC SPEED;

DETECTORS; ESTIMATION; MAXIMUM LIKELIHOOD ESTIMATION; SENSOR NETWORKS; SENSOR NODES; TRAFFIC CONTROL;

ALGORITHMS;

EID: 84866843145     PISSN: 1751956X     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-its.2010.0189     Document Type: Article

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