Random forest models for identifying motorway rear-end crash risks using disaggregate data

IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Volumn , Issue , 2010, Pages 468-473

  Pham, Minh Hai ^a   Bhaskar, Ashish ^a   Chung, Edward ^b   Dumont, André Gilles ^a  

^a EPFL   (Switzerland)

^b QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

DOUBLE-LOOP; ENSEMBLE LEARNING; METEOROLOGICAL DATA; RANDOM FORESTS; REAR-END CRASHES; SPEED DIFFERENCE; SPEED VARIANCE; STUDY SITES; TIME HEADWAY; TRAFFIC DATA; TRAFFIC SITUATIONS; TWO-LANE;

DECISION TREES; INTELLIGENT SYSTEMS; METEOROLOGY; TRAFFIC CONTROL;

HIGHWAY ACCIDENTS;

EID: 78650498469     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ITSC.2010.5625003     Document Type: Conference Paper

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