Term paper based on case study And Implementation of a fuzzy application Fuzzy Traffic Control System


Simulation results and discussion



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FuzzyTrafficControlSystem

4. Simulation results and discussion
The Fuzzy Logic Toolbox in Matlab which has a graphical user interface (GUI) to efficiently 
design and implement fuzzy control system. Although it’s possible to use the Fuzzy Logic 
Toolbox by working strictly from the command line, in general it’s much easier to build a system 
graphically reported in [1]. There are five primary GUI tools for building, editing, and observing 
fuzzy inference systems in the Fuzzy Logic Toolbox are Fuzzy Inference System or FIS Editor, 
the Membership Function Editor, the Rule Editor, the Rule Viewer, and the surface viewer. They 
are dynamically linked as any change done to the FIS eventually reflected to the system. At first 
we use the FIS editor to design the system. By typing 
Fuzzy
in the command prompt let us open 
the FIS editor where two inputs (WQred and VFgreen) and one output (Gduration) are set as 
discussed above in the section
Description
. Figure 20 shows our proposed fuzzy inference 
system and membership function of the input and output as discussed in the previous section are 
shown in Figure 21, 22 and 23 respectively.
Figure 20: FIS editor
Figure 21: Membership function (WQred)
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WQred: low=0 to 6.4, Medium= 4 to 12, High= 9 to 16
Figure 22: Membership function (VFgreen)
VFgreen: low=0 to 5, Medium= 3 to 9, High= 7 to 14
Figure 23: Membership function (Gduration)
Gduration: Short=0 to 12, Medium= 8 to 18, High= 16 to 25
The rules defined in the previous section can be easily derived using rule editor shown in Figure 
24 of the FIS and can view graphically using rule viewer shown in Figure 25, where the 
aggregate output are shown at the bottom and center of the area is considered for defuzzification 
as shown in red color. 
26


Figure 24: Rule editor
Figure 25: Rule Viewer
27


FIS output surface:
Figure 26 shows the surface view of the system that represents the input and 
output relationship in terms of data distribution. The Surface Viewer can generate a three-
dimensional output surface where two of the inputs vary.
Figure 26: Surface viewer

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