Application of stochastic gradient boosting technique to enhance reliability of real-time risk assessment

Transportation Research Record

Volumn , Issue 2386, 2013, Pages 26-34

  Ahmed, Mohamed ^a,b   Abdel Aty, Mohamed ^a  

^a University of Central Florida   (United States)

^b UNIVERSITY OF WYOMING   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; FORESTRY; LEARNING SYSTEMS; MATHEMATICAL TRANSFORMATIONS; MICROWAVE SENSORS; REAL TIME SYSTEMS; RISK ASSESSMENT; STOCHASTIC SYSTEMS;

CONDITION; DETECTION SYSTEM; FULL MODEL; MACHINE LEARNING TECHNIQUES; MULTIPLE DETECTION; REAL- TIME; REAL-TIME RISK ASSESSMENTS; REMOTE TRAFFIC MICROWAVE SENSORS; STOCHASTIC GRADIENT BOOSTING; TRAFFIC DATA;

CLASSIFICATION (OF INFORMATION);

CLASSIFICATION; FORECASTS; FORESTRY; INFORMATION RETRIEVAL; RISK ASSESSMENT;

EID: 84897136542     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/2386-04     Document Type: Article

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