fuzzy traffic light controller
TABLE OF CONTENT
CHAPTER
1
TITLE
INTRODUCTION
PAGE
3
1.1
3
1.2
Statement of the Problem
4
1.3
Objectives of the Research
4
1.4
Scope of the Research
5
1.5
2
Research Background
Significance of Research
5
6
2.0
Introduction
6
2.1
Traffic Light Controller
6
2.2
Fuzzy Set
8
2.3
Membership Function
10
2.3.1 Mathematical Concept for Fuzzy Logic
13
2.3.2 Basic Operations
3
LITERATURE REVIEW
16
17
3.0
Introduction
17
3.1
Fuzzifier
17
3.2
Fuzzy Inferences System
18
3.2.1 Fuzzy IF-THEN rules
19
3.2.2 Mamdani 's Method
21
ANALYSIS AND DISCUSSION
24
4.1
Calculation for Mamdani-Type Inference Method
24
4.2
4
RESEARCH METHODOLOGY
A Case Study of Traffic Control System Function for T-
33
junction
5
CONCLUSION ANDRECOMMENDATION
35
5.1
Introduction
35
5.2
Conclusion
35
5.3
Recommendation
37
REFERENCES
APPENDIX
38
CHAPTER 1
INTRODUCTION
1.1
Research Background
The traffic signals affect the life of nearly everyone everyday especially in urban area.
With the rapid increasing of global vehicle numbers, the problems such as congestion and accidents happen more frequently. Since traffic light plays an important role in the urban traffic management and as the number of traffic over road tends to increase in the recent year, it is necessary to improve the traffic controller for effective traffic management to ensure a better traffic flow.
In a conventional traffic light controller, the traffic light change at constant time.
However previous studies had shown that the traditional controls methods are insufficient and fuzzy logic is suitable for controlling intersections especially those with heavy traffic flow because it enable the manipulation of traffic signal control, just like emulates the control logic of traffic police officers who
CHAPTER
1
TITLE
INTRODUCTION
PAGE
3
1.1
3
1.2
Statement of the Problem
4
1.3
Objectives of the Research
4
1.4
Scope of the Research
5
1.5
2
Research Background
Significance of Research
5
6
2.0
Introduction
6
2.1
Traffic Light Controller
6
2.2
Fuzzy Set
8
2.3
Membership Function
10
2.3.1 Mathematical Concept for Fuzzy Logic
13
2.3.2 Basic Operations
3
LITERATURE REVIEW
16
17
3.0
Introduction
17
3.1
Fuzzifier
17
3.2
Fuzzy Inferences System
18
3.2.1 Fuzzy IF-THEN rules
19
3.2.2 Mamdani 's Method
21
ANALYSIS AND DISCUSSION
24
4.1
Calculation for Mamdani-Type Inference Method
24
4.2
4
RESEARCH METHODOLOGY
A Case Study of Traffic Control System Function for T-
33
junction
5
CONCLUSION ANDRECOMMENDATION
35
5.1
Introduction
35
5.2
Conclusion
35
5.3
Recommendation
37
REFERENCES
APPENDIX
38
CHAPTER 1
INTRODUCTION
1.1
Research Background
The traffic signals affect the life of nearly everyone everyday especially in urban area.
With the rapid increasing of global vehicle numbers, the problems such as congestion and accidents happen more frequently. Since traffic light plays an important role in the urban traffic management and as the number of traffic over road tends to increase in the recent year, it is necessary to improve the traffic controller for effective traffic management to ensure a better traffic flow.
In a conventional traffic light controller, the traffic light change at constant time.
However previous studies had shown that the traditional controls methods are insufficient and fuzzy logic is suitable for controlling intersections especially those with heavy traffic flow because it enable the manipulation of traffic signal control, just like emulates the control logic of traffic police officers who
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