Predicting crash likelihood and severity on freeways with real-time loop detector data

Accident Analysis and Prevention

Volumn 57, Issue , 2013, Pages 30-39

  Xu, Chengcheng ^a   Tarko, Andrew P ^b   Wang, Wei ^a   Liu, Pan ^a  

^a SOUTHEAST UNIVERSITY   (China)

^b PURDUE UNIVERSITY   (United States)

Author keywords

Crash risk prediction; Crash severity; Freeway; Real time safety management; Sequential logit model

Indexed keywords

CRASH RISK; CRASH SEVERITY; CROSS-VALIDATION METHODS; LOGIT MODELS; SAFETY COUNTERMEASURES; SAFETY MANAGEMENT; SAFETY MANAGEMENT SYSTEMS; TRAFFIC FLOW CHARACTERISTICS;

DETECTORS; FORECASTING; HIGHWAY SYSTEMS; MATHEMATICAL MODELS; SAFETY ENGINEERING; TRAFFIC CONGESTION;

HIGHWAY ACCIDENTS;

ARTICLE; CAR DRIVING; COMPUTER SYSTEM; ENVIRONMENTAL PLANNING; HUMAN; RISK ASSESSMENT; SAFETY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; STATISTICS; TRAFFIC ACCIDENT; STATISTICS AND NUMERICAL DATA;

ACCIDENTS, TRAFFIC; AUTOMOBILE DRIVING; COMPUTER SYSTEMS; ENVIRONMENT DESIGN; HUMANS; LOGISTIC MODELS; RISK ASSESSMENT; SAFETY MANAGEMENT; SENSITIVITY AND SPECIFICITY;

EID: 84876945975     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2013.03.035     Document Type: Article

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