Modeling driver stop/run behavior at the onset of a yellow indication considering driver run tendency and roadway surface conditions

Accident Analysis and Prevention

Volumn 83, Issue , 2015, Pages 90-100

  Elhenawy, Mohammed ^a   Jahangiri, Arash ^b   Rakha, Hesham A ^a   El Shawarby, Ihab ^b,c  

^a Virginia Polytechnic Institute and State University   (United States)

^b VIRGINIA TECH TRANSPORTATION INSTITUTE   (United States)

^c AIN SHAMS UNIVERSITY   (Egypt)

Author keywords

Classification; Dilemma zone; Run stop behavior; Yellow indication

Indexed keywords

ADAPTIVE BOOSTING; ADVANCED DRIVER ASSISTANCE SYSTEMS; AMPHIBIOUS VEHICLES; ARTIFICIAL INTELLIGENCE; AUTOMOBILE DRIVERS; CLASSIFICATION (OF INFORMATION); CRASHWORTHINESS; DECISION TREES; DESIGN; HIGHWAY ACCIDENTS; INTELLIGENT SYSTEMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; SUPPORT VECTOR MACHINES; TRAFFIC CONTROL; TRAFFIC SIGNALS;

ARTIFICIAL INTELLIGENCE TECHNIQUES; CLASSIFICATION ACCURACY; DILEMMA ZONE; RUN/STOP BEHAVIOR; SIGNALIZED INTERSECTION; SUPPORT VECTOR MACHINE ALGORITHM; TRAFFIC SIGNAL CONTROLLERS; YELLOW INDICATION;

BEHAVIORAL RESEARCH;

ADULT; AGED; AGGRESSION; ALGORITHM; ARTIFICIAL INTELLIGENCE; ASSOCIATION; CAR DRIVING; ENVIRONMENTAL PLANNING; FEMALE; HUMAN; MALE; MIDDLE AGED; PSYCHOLOGY; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; THEORETICAL MODEL; VIRGINIA;

ADULT; AGED; AGGRESSION; ALGORITHMS; ARTIFICIAL INTELLIGENCE; AUTOMOBILE DRIVING; CUES; ENVIRONMENT DESIGN; FEMALE; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; MODELS, THEORETICAL; VIRGINIA;

EID: 84938339732     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2015.06.016     Document Type: Article

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