An Adaptive Neuro-Fuzzy Inference System for estimating the number of vehicles for queue management at signalized intersections

Transportation Research Part C: Emerging Technologies

Volumn 19, Issue 6, 2011, Pages 1033-1047

  Mucsi, Kornel ^a   Khan, Ata M ^b   Ahmadi, Mojtaba ^b  

^a Carleton Univ ^*

^b CARLETON UNIVERSITY   (Canada)

Author keywords

Adaptive Neuro Fuzzy Inference System; Fuzzy logic; Queue control; Queue estimation; Queue jump; Queue management; Traffic; Traffic metering

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; COMPUTER CIRCUITS; FUZZY LOGIC; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; HIGHWAY TRAFFIC CONTROL; QUEUEING THEORY; SIGNAL DETECTION; SYSTEMATIC ERRORS; TELECOMMUNICATION TRAFFIC; TRAFFIC SIGNALS; TRAFFIC SIGNS; VEHICLES;

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; QUEUE CONTROL; QUEUE JUMP; QUEUE MANAGEMENT; TRAFFIC METERING;

FUZZY INFERENCE;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; ESTIMATION METHOD; FUZZY MATHEMATICS; TRAFFIC MANAGEMENT;

EID: 79959612844     PISSN: 0968090X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.trc.2011.05.016     Document Type: Article

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