A novel approach for analyzing severe crash patterns on multilane highways

Accident Analysis and Prevention

Volumn 41, Issue 5, 2009, Pages 985-994

  Pande, Anurag ^a   Abdel Aty, Mohamed ^b  

^a CALIFORNIA POLYTECHNIC STATE UNIVERSITY   (United States)

^b University of Central Florida   (United States)

Author keywords

Matched sampling; Multilane highways; Severe crashes; Traffic safety

Indexed keywords

AVERAGE DAILY TRAFFICS; CLASSIFICATION APPROACH; CRASH CHARACTERISTICS; CRASH DATA; EVENT-SPECIFIC; FLORIDA; FOUR-GROUP; INDEPENDENT VARIABLES; K-FACTOR; MATCHED SAMPLING; MULTI-LANE HIGHWAY; MULTILANE HIGHWAYS; PAVEMENT CONDITION; PEDESTRIAN CRASHES; RANDOM SAMPLE; REAR-END CRASHES; ROAD CRASH; ROADWAY CHARACTERISTICS; SAFETY EVALUATIONS; SEVERE CRASHES; SIGNIFICANT FACTORS; SPEED LIMIT; TRAFFIC CHARACTERISTICS; TRAFFIC SAFETY; VEHICLE CRASHES;

HIGHWAY ACCIDENTS; LOCATION; ROADS AND STREETS;

HIGHWAY SYSTEMS;

ARTICLE; ATTENTION; CAR; CAR DRIVING; CASE CONTROL STUDY; FACTUAL DATABASE; HUMAN; METHODOLOGY; MULTIVARIATE ANALYSIS; PERCEPTION; RISK ASSESSMENT; RISK FACTOR; STATISTICAL MODEL; STATISTICS; THEORETICAL MODEL; TRAFFIC ACCIDENT; UNITED STATES;

ACCIDENTS, TRAFFIC; ATTENTION; AUTOMOBILE DRIVING; AUTOMOBILES; CASE-CONTROL STUDIES; DATABASES, FACTUAL; FLORIDA; HUMANS; LOGISTIC MODELS; MODELS, THEORETICAL; MULTIVARIATE ANALYSIS; PERCEPTION; RISK ASSESSMENT; RISK FACTORS; STATISTICS AS TOPIC;

EID: 67949120227     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2009.06.003     Document Type: Article

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