FUZZY CONTROL MODEL OPTIMIZATION FOR BEHAVIOR-CONSISTENT TRAFFIC ROUTING UNDER INFORMATION PROVISION

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ABSTRACT

This paper presents an H-infinity filtering approach to optimize a fuzzy control model used to determine behavior-consistent (BC) information-based control strategies to improve the performance of congested dynamic traffic networks. By adjusting the associated membership function parameters to better respond to nonlinearities and modeling errors, the approach is able to enhance the computational performance of the fuzzy control model. Computational efficiency is an important aspect in this problem context, because the information strategies are required in sub real time to be real-time deployable. Experiments are performed to evaluate the effectiveness of the approach. The results indicate that the optimized fuzzy control model contributes in determining the BC information-based control strategies in significantly less computational time than when the default controller is used. Hence, the proposed H-infinity approach contributes to the development of an efficient and robust information-based control approach

TABLE OF CONTENT

TITLE PAGE

CERTIFICATION

APPROVAL

DEDICATION

ACKNOWLEDGEMENT

ABSTRACT

TABLE OF CONTENT

CHAPTER ONE

1.0INTRODUCTION

1.1STATEMENT OF PROBLEM

1.2PURPOSE OF STUDY

1.3AIMS AND OBJECTIVES

1.4SCOPE/DELIMITATIONS

1.5LIMITATIONS/CONSTRAINTS

1.6DEFINITION OF TERMS

CHAPTER TWO

2.0LITERATURE REVIEW

CHAPTER THREE

3.0METHODS FOR FACT FINDING AND DETAILED DISCUSSIONS OF THE SYSTEM

3.1 METHODOLOGIES FOR FACT-FINDING

3.2DISCUSSIONS

CHAPTER FOUR

4.0FUTURES, IMPLICATIONS AND CHALLENGES OF THE SYSTEM

4.1FUTURES

4.2IMPLICATIONS

4.3CHALLENGES

CHAPTER FIVE

5.0RECOMMENDATIONS, SUMMARY AND CONCLUSION

5.1RECOMMENDATION

5.2SUMMARY

5.3CONCLUSION

5.4REFERENCES

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FUZZY CONTROL MODEL OPTIMIZATION FOR BEHAVIOR-CONSISTENT TRAFFIC ROUTING UNDER INFORMATION PROVISION

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