fuzzy traffic light controller

Topics: Fuzzy logic, Fuzzy set, Traffic light Pages: 43 (5695 words) Published: April 21, 2014
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 sometimes replace the traffic signal control when the intersection is congested.

2|Page

Since the traffic signal controller based on fuzzy logic can used for optimum control of fluctuating traffic volumes such as oversaturated or unusual load condition, therefore, over the past years, the concept of Fuzzy Set Theory has been widely used to develop an adaptive traffic signal controller. While controlling the traffic flows at signalized intersections, it is aimed to reduce delays of vehicles and environmental effects and increase the intersection capacity at the same time.

1.2

Statement of the Problem

This research specifically studies the traffic light controller based on fuzzy logic controller. The process of whether to extend or terminate current signal lane and select the most suitable lane for green light to be extend is determined using fuzzy logic.

1.3

Objectives of the Research

The objectives are:


To present fuzzy logic as a control method in adaptive traffic signal control for Tjunction.



To discuss a process of whether to extend or terminate current signal lane and select the most suitable lane for green light to be extend is determined using fuzzy logic.



To obtain the solution computationally by using MATLAB



To discuss the fuzzzification, fuzzy inference and defuzzification in the control process (traffic signal control process)
3|Page

1.4

Scope of the Research

This research will consider the problems of traffic light controller based on fuzzy set theory. We used a fuzzy logic as a control method in adaptive traffic signal control at Tjunctions, and model a process of whether to extend or terminate current signal lane and select the most suitable lane for green light to be extend. In this fuzzy logic, we consider fuzzification, and Mamdani type is used for fuzzy inference then we defuzzified the fuzzy numbers by using center of gravity method.

1.5

Significance of Research

Intersections are common...


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