A fuzzy logic simulation model for controlling an oversaturated diverge diamond interchange and ramp metering system

2021 ◽  
Vol 182 ◽  
pp. 165-181
Author(s):  
Aleksandar Jovanović ◽  
Katarina Kukić ◽  
Aleksandar Stevanović
Keyword(s):  
Fuzzy Logic ◽  
Simulation Model ◽  
Ramp Metering ◽  
Logic Simulation

scholarly journals Fuzzy logic simulation of oat yield after using hydrogel and nitrogen biopolymer management

2020 ◽  
pp. 1319-1327
Author(s):  
Osmar Bruneslau Scremin ◽  
José Antonio Gonzalez da Silva ◽  
Ivan Ricardo Carvalho ◽  
Ângela Teresinha Woschinski De Mamann ◽  
Odenis Alessi ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Air Temperature ◽  
Biomass Yield ◽  
New Technologies ◽  
Block Design ◽  
Fuzzy Model ◽  
Logic Simulation ◽  
Efficient Tool ◽  
Randomized Block Design ◽  
Maximum Air Temperature

The fuzzy logic is an efficient tool for simulation and validation of new technologies in agriculture. The objective of the study is to adapt the fuzzy logic model for simulation of biomass and oat grain yield by nitrogen involving the nonlinearity of the maximum air temperature in the conditions of use of the biopolymer hydrogel, considering high succession systems and low release of residual N. The study was conducted in 2014 and 2015, in a randomized block design with four replicates in a 5 x 5 factorial. Five hydrogel doses (0, 30, 60, 90 and 120 kg ha-1) were added in the groove next to the seed; and 5 doses of N-fertilizer (0, 30, 60, 90 and 120 kg ha-1) applied at the fourth expanded leaf stage, respectively. The cultivar was URS Corona. The pertinence functions and the linguistic values established in the input and output variables to simulate the biomass yield and oat grains in the succession systems are adequate observed productivity. The fuzzy model makes it possible to estimate the biomass and oat grains productivity efficiently under the conditions of use of the hydrogel as a function of the nitrogen doses and maximum air temperature, adding to the existing models of simulation.

Fuzzy Logic Simulation to Process Control Systems

2002 ◽  
Vol 1 (3) ◽  
pp. 272-279 ◽  
Author(s):  
M. Shaharurrizal B.M.W. . ◽  
Farrah D. Herman . ◽  
A. Arunagiri . ◽  
Stella Morris .
Keyword(s):  
Fuzzy Logic ◽  
Process Control ◽  
Control Systems ◽  
Logic Simulation ◽  
Process Control Systems

Quantifying effects of accidents by fuzzy-logic- and simulation-based analysis

2006 ◽  
Vol 33 (3) ◽  
pp. 219-226 ◽  
Author(s):  
Sangyoub Lee ◽  
Daniel W Halpin ◽  
Hoon Chang
Keyword(s):  
Fuzzy Logic ◽  
Simulation Analysis ◽  
Productivity Loss ◽  
Indirect Costs ◽  
Safety Factors ◽  
Logic Simulation ◽  
Training And Supervision ◽  
Simulation Based ◽  
The Relationship ◽  
Productive Time

This study quantifies the effects of accidents by defining one of the indirect costs, the productive time lost owing to accidents in utility trenching operations. The probability of accidents, estimated by fuzzy-logic-based analysis of the performance of the factors (training, supervision, and preplanning) affecting safety in utility trenching operations, was used to quantify, based on simulation analysis, the productivity loss due to process delays resulting from accidents during excavation and pipe installation. It was determined that the productivity loss resulting from accidents during excavation is greater than that resulting from accidents during pipe installation. During excavation, the "very poor" condition of preplanning is most critical to productivity loss due to accidents, whereas during pipe installation, the condition of training and supervision affects the productivity loss more than that of preplanning. This paper provides insights into the relationship between the condition of the safety factors and the possible productivity loss by concomitant probability of accidents to quantify the effects of the accidents.Key words: effect of accidents, probability of accidents, productivity, fuzzy logic, simulation.

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.

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