Real-time highway accident prediction based on support vector machines

2009 Chinese Control and Decision Conference, CCDC 2009

Volumn , Issue , 2009, Pages 4403-4407

  Lv, Yisheng ^a   Tang, Shuming ^b   Zhao, Hongxia ^a   Li, Shuang ^c  

^a INSTITUTE OF AUTOMATION   (China)

^b SHANDONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c SOUTHEAST UNIVERSITY   (China)

Author keywords

Real time accident prediction; Real time traffic data; Support vector machine; Traffic accident prediction

Indexed keywords

ANNUAL AVERAGE DAILY TRAFFICS; HAZARDOUS TRAFFIC CONDITIONS; INDUCTIVE LOOP DETECTORS; MICROSCOPIC TRAFFIC SIMULATION; REAL TIME TRAFFICS; REAL-TIME ACCIDENT PREDICTION; REAL-TIME TRAFFIC DATA; SUPPORT VECTOR MACHINE METHOD; TRAFFIC ACCIDENT PREDICTION; TRAFFIC ACCIDENTS; TRAFFIC CONDITIONS; TRAFFIC DATA; TRAFFIC PATTERN; TRAFFIC SIMULATIONS;

COMPUTER SOFTWARE; GEARS; IMAGE RETRIEVAL; MOTOR TRANSPORTATION; MULTILAYER NEURAL NETWORKS; SUPPORT VECTOR MACHINES; VECTORS;

HIGHWAY ACCIDENTS;

EID: 70449380545     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCDC.2009.5192409     Document Type: Conference Paper

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