A data fusion framework for real-time risk assessment on freeways

Transportation Research Part C: Emerging Technologies

Volumn 26, Issue , 2013, Pages 203-213

  Ahmed, Mohamed ^a   Abdel Aty, Mohamed ^a  

^a University of Central Florida   (United States)

Author keywords

Automatic Vehicle Identification; Data fusion; Data mining; Freeway safety; Remote Traffic Microwave Sensor; Stochastic Gradient Boosting

Indexed keywords

ADAPTIVE BOOSTING; AUTOMATIC VEHICLE IDENTIFICATION; DATA FUSION; DATA MINING; FORESTRY; INFORMATION MANAGEMENT; LEARNING SYSTEMS; MATHEMATICAL TRANSFORMATIONS; MICROWAVE SENSORS; RISK ASSESSMENT; RISK PERCEPTION; SAFETY ENGINEERING; SENSOR DATA FUSION; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; TRAVEL TIME;

FREEWAY SAFETIES; MACHINE LEARNING TECHNIQUES; NON-LINEAR RELATIONSHIPS; REAL-TIME RISK ASSESSMENTS; REAL-TIME TRAFFIC DATUM; REMOTE TRAFFIC MICROWAVE SENSORS; SAFETY MANAGEMENT SYSTEMS; STOCHASTIC GRADIENT BOOSTING;

REAL TIME SYSTEMS;

ACCURACY ASSESSMENT; DATA MINING; GEOMETRY; MOTORWAY; REMOTE SENSING; RISK ASSESSMENT; STOCHASTICITY; TRAVEL TIME;

DATA PROCESSING; FORESTRY; INFORMATION RETRIEVAL; NEURAL NETWORKS; RISK ASSESSMENT; VEHICLES;

COLORADO; UNITED STATES;

EID: 84870233010     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2012.09.002     Document Type: Article

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