Real-time crash prediction for expressway weaving segments

Transportation Research Part C: Emerging Technologies

Volumn 61, Issue , 2015, Pages 1-10

  Wang, Ling ^a   Abdel Aty, Mohamed ^a   Shi, Qi ^a   Park, Juneyoung ^a  

^a University of Central Florida   (United States)

Author keywords

Expressway weaving segments; Maximum length; Multilevel Bayesian logistic regression model; Real time crash analysis

Indexed keywords

ADVANCED TRAVELER INFORMATION SYSTEMS; HIGHWAY TRAFFIC CONTROL; INTELLIGENT SYSTEMS; LOGISTIC REGRESSION; REAL TIME SYSTEMS; RISK ASSESSMENT; SURFACE TREATMENT; TRAFFIC SIGNS;

CRASH ANALYSIS; DYNAMIC MESSAGE SIGNS; EXPRESSWAY WEAVING SEGMENTS; INTELLIGENT TRANSPORTATION SYSTEMS; LOGISTIC REGRESSION MODELING; MAXIMUM LENGTH; TRAFFIC INTERACTIONS; VEHICLE DETECTION SYSTEMS;

ACCIDENTS;

ACCIDENT PREVENTION; BAYESIAN ANALYSIS; INTELLIGENT TRANSPORTATION SYSTEM; MOTORWAY; NUMERICAL MODEL; PREDICTION; REAL TIME; REGRESSION ANALYSIS; TRAFFIC MANAGEMENT; TRANSPORTATION SAFETY;

EID: 84945552744     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2015.10.008     Document Type: Article

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