Identifying crash-prone traffic conditions under different weather on freeways

Journal of Safety Research

Volumn 46, Issue , 2013, Pages 135-144

  Xu, Chengcheng ^a   Wang, Wei ^a   Liu, Pan ^a  

^a SOUTHEAST UNIVERSITY   (China)

Author keywords

Adverse weather; Bayesian random intercept logistic regression; Crash risk; Freeway; Real time safety management

Indexed keywords

ADVERSE WEATHER; CRASH RISK; LOGISTIC REGRESSION MODELS; LOGISTIC REGRESSIONS; PREDICTIVE PERFORMANCE; SAFETY MANAGEMENT; TRAFFIC FLOW CHARACTERISTICS; TRANSPORTATION PROFESSIONALS;

HIGHWAY SYSTEMS; LOGISTICS; MATHEMATICAL MODELS; METEOROLOGY; REGRESSION ANALYSIS; RISK ASSESSMENT; RISK PERCEPTION; SAFETY ENGINEERING; TRAFFIC CONTROL; VISIBILITY;

HIGHWAY ACCIDENTS;

ACCELERATION; ADVERSE WEATHER; ARTICLE; BAYES THEOREM; BAYESIAN RANDOM INTERCEPT LOGISTIC REGRESSION; CAR DRIVING; COMPUTER SYSTEM; CRASH RISK; ENVIRONMENTAL PLANNING; HUMAN; METHODOLOGY; PERCUTANEOUS TRANSLUMINAL ANGIOPLASTY BALLOON; REAL-TIME SAFETY MANAGEMENT; RECEIVER OPERATING CHARACTERISTIC; SAFETY; STANDARD; STATISTICAL MODEL; STATISTICS; TRAFFIC ACCIDENT; UNITED STATES; WEATHER;

ADVERSE WEATHER; BAYESIAN RANDOM INTERCEPT LOGISTIC REGRESSION; CRASH RISK; FREEWAY; REAL-TIME SAFETY MANAGEMENT;

ACCELERATION; ACCIDENTS, TRAFFIC; AUTOMOBILE DRIVING; BAYES THEOREM; CALIFORNIA; COMPUTER SYSTEMS; ENVIRONMENT DESIGN; HUMANS; LOGISTIC MODELS; ROC CURVE; SAFETY MANAGEMENT; WEATHER;

EID: 84879574451     PISSN: 00224375     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jsr.2013.04.007     Document Type: Article

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