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

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