The viability of using automatic vehicle identification data for real-time crash prediction

IEEE Transactions on Intelligent Transportation Systems

Volumn 13, Issue 2, 2012, Pages 459-468

  Ahmed, Mohamed M ^a   Abdel Aty, Mohamed A ^a  

^a University of Central Florida   (United States)

Author keywords

Automatic vehicle identification (AVI); freeway expressway; intelligent transportation system (ITS); safety risk

Indexed keywords

AVERAGE LENGTH; CASE-CONTROL; CRASH DATA; CRASH POTENTIAL; CRASH PREDICTION; INDUCTIVE LOOP DETECTORS; INTELLIGENT TRANSPORTATION SYSTEMS; NON-INTRUSIVE; ORLANDO; RANDOM FORESTS; SAFETY ANALYSIS; SAFETY APPLICATIONS; SAFETY RISKS; SPEED PARAMETERS; SURVEILLANCE SYSTEMS; TRAFFIC DATA; TRAFFIC MANAGEMENT; VARIABLE SELECTION;

ACCIDENTS; ADVANCED TRAFFIC MANAGEMENT SYSTEMS; DECISION TREES; HIGHWAY TRAFFIC CONTROL; INTELLIGENT SYSTEMS; TOLL HIGHWAYS; VEHICLE LOCATING SYSTEMS;

AUTOMATIC VEHICLE IDENTIFICATION;

EID: 84861906534     PISSN: 15249050     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITS.2011.2171052     Document Type: Article

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