Dynamic all-red extension at a signalized intersection: A framework of probabilistic modeling and performance evaluation

IEEE Transactions on Intelligent Transportation Systems

Volumn 13, Issue 1, 2012, Pages 166-179

  Zhang, Liping ^a   Wang, Lanjun ^b   Zhou, Kun ^a   Zhang, Wei Bin ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b IBM CHINA RESEARCH LAB   (China)

Author keywords

Dynamic all red extension (DARE); intersection collision avoidance; probabilistic modeling; red light running (RLR); traffic signal control

Indexed keywords

ADVANCED DETECTOR; CAR-FOLLOWING; DETECTION RATES; DYNAMIC OPERATIONS; EMPIRICAL DISTRIBUTIONS; FALSE ALARMS; FALSE-ALARM RATES; HAZARD PREDICTION; INTERSECTION COLLISION AVOIDANCE; MEAN ERRORS; NORMAL MODEL; OFFLINE DATA; PERFORMANCE EVALUATION; PREDICTION ALGORITHMS; PREDICTION MODEL; PROBABILISTIC FRAMEWORK; PROBABILISTIC MODELING; RED-LIGHT RUNNING; SIGNALIZED INTERSECTION; SYSTEM OPERATING CHARACTERISTICS; TRAFFIC SIGNAL CONTROL;

ALGORITHMS; ERRORS; FORECASTING; HAZARDS; INTELLIGENT SYSTEMS; MATHEMATICAL MODELS; STREET TRAFFIC CONTROL; TRAFFIC SIGNALS;

PROBABILITY DISTRIBUTIONS;

EID: 84857793373     PISSN: 15249050     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITS.2011.2166070     Document Type: Article

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