Probabilistic Fuzzy Logic Signal and Ramp Metering at a Diamond Interchange

2015 ◽  
Vol 141 (3) ◽  
pp. 04014083 ◽  
Author(s):  
V. C. Pham ◽  
W. L. Xu ◽  
F. Alam ◽  
F. C. Fang
Keyword(s):  
Fuzzy Logic ◽  
Ramp Metering ◽  
Logic Signal

Fuzzy Traffic Controller in Ramp Metering of Urban Expressway

2003 ◽  
Vol 7 (2) ◽  
pp. 207-214 ◽  
Author(s):  
Masashi Okushima ◽  
◽  
Yoshiharu Takihi ◽  
Takamasa Akiyama ◽  
Keyword(s):  
Fuzzy Logic ◽  
Empirical Studies ◽  
Ramp Metering ◽  
Rapid Progress ◽  
Urban Expressway

Many uncertain factors must be considered in efficiently and practically controlling traffic. Inflow control with fuzzy logic is proposed to maintain smooth traffic on urban expressways. Advanced inflow control with ramp metering is considered due to the rapid progress of ITS technology. A fuzzy inflow controller is formulated in practical ramp metering based on the above research. The advantages of fuzzy inflow controller are summarized with empirical studies.

scholarly journals FIELD EVALUATION OF THE FUZZY LOGIC BASED RAMP METERING ALGORITHM ACCEZZ

2006 ◽  
Vol 39 (12) ◽  
pp. 119-123 ◽  
Author(s):  
Dipl.-Ing. Svetlana Vukanovic ◽  
Dipl.-Ing. Oliver Ernhofer
Keyword(s):  
Fuzzy Logic ◽  
Field Evaluation ◽  
Ramp Metering

Fuzzy Ramp Metering: Design Overview and Simulation Results

1998 ◽  
Vol 1634 (1) ◽  
pp. 10-18 ◽  
Author(s):  
Cynthia Taylor ◽  
Deirdere Meldrum ◽  
Les Jacobson
Keyword(s):  
Fuzzy Logic ◽  
Travel Time ◽  
Fuzzy Controller ◽  
Simulation Software ◽  
Ramp Metering ◽  
Traffic Conditions ◽  
Total Distance ◽  
Total Travel Time ◽  
Vehicle Delay ◽  
Simulation Results

A fuzzy logic ramp-metering algorithm was designed to overcome the limitations of conventional ramp-metering strategies. The fuzzy controller demonstrated improved robustness, prevented heavy congestion, intelligently balanced conflicting needs, and tuned easily. The objective was to maximize total distance traveled and minimize total travel time and vehicle delay, while maintaining acceptable ramp queues. A multiple-ramp study site from the Seattle I-5 corridor was modeled and tested using the freeway simulation software, FRESIM. For five of the six testing sets, encompassing a variety of traffic conditions, the fuzzy controller outperformed the three other controllers tested.

Fuzzy Logic Based Traffic Density Control via Ramp Metering

2011 ◽  
Vol 97-98 ◽  
pp. 888-891
Author(s):  
Xin Rong Liang ◽  
Di Qian Wang
Keyword(s):  
Fuzzy Logic ◽  
Traffic Flow ◽  
Flow Model ◽  
Tracking Error ◽  
Control Variable ◽  
Ramp Metering ◽  
Traffic Density ◽  
Rule Base ◽  
Traffic Flow Model ◽  
Density Control

In this work, we apply fuzzy logic method to address the traffic density control problem in a macroscopic level freeway environment with ramp metering. The second-order traffic flow model is firstly formulated. Then traffic density is selected as the control variable in place of traffic occupancy. Based on the traffic flow model and in conjunction with nonlinear feedback theory, a fuzzy logic based traffic density controller is designed. The ramp metering rate is determined by the fuzzy control according to density tracking error and error variation. Triangle curves are used for the membership functions of the fuzzy variables. The rule base including 56 fuzzy rules is also established. Finally, the fuzzy logic based feedback controller is simulated in Matlab software. Simulation results show that this method has good dynamic and steady-state performance, and can achieve an almost perfect tracking performance.

Fuzzy Logic: Signal Conditioning for SO2 Sensor

1994 ◽  
Vol 27 (3) ◽  
pp. 223-228
Author(s):  
K. Srinivas ◽  
W. Wolf ◽  
A. Czajor
Keyword(s):  
Fuzzy Logic ◽  
Signal Conditioning ◽  
Logic Signal ◽  
So2 Sensor
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