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Introduction

Edge Computing and Fog Computing have emerged as promising technologies for enhancing the efficiency and effectiveness of Intelligent Transportation Systems (ITS). These technologies enable real-time data processing and analytics at the edge of the network, closer to where data is generated, which helps in reducing latency and improving overall system performance. This thesis explores the application of Edge Computing and Fog Computing in the context of ITS, with a focus on improving traffic management, road safety, and overall transportation efficiency.

1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter Two: Literature Review
2.1 Introduction to Edge Computing and Fog Computing
2.2 Evolution of Intelligent Transportation Systems
2.3 Applications of Edge and Fog Computing in ITS
2.4 Challenges and Issues in ITS
2.5 Case Studies of Edge and Fog Computing in Transportation
2.6 Comparison of Edge and Fog Computing in ITS
2.7 Integration of Edge and Fog Computing with other Technologies
2.8 Security and Privacy Issues in Edge and Fog Computing
2.9 Future Trends and Opportunities in Edge and Fog Computing
2.10 Summary of Literature Review

Chapter Three: Research Methodology
3.1 Introduction
3.2 Research Design
3.3 Data Collection Methods
3.4 Data Analysis Techniques
3.5 Sampling and Sample Size
3.6 Ethical Considerations
3.7 Research Limitations
3.8 Reliability and Validity
3.9 Research Instrumentation
3.10 Data Interpretation

Chapter Four: Discussion of Findings
4.1 Introduction
4.2 Data Analysis Results
4.3 Comparison with Existing Studies
4.4 Implications of Findings
4.5 Recommendations for Implementation
4.6 Future Research Directions
4.7 Limitations of the Study
4.8 Managerial Implications
4.9 Practical Applications of Findings
4.10 Conclusion

Chapter Five: Conclusion and Summary
5.1 Summary of Findings
5.2 Contributions to Knowledge
5.3 Practical Implications
5.4 Recommendations for Future Research
5.5 Conclusion

Thesis Overview:

Edge Computing and Fog Computing have gained significant attention in recent years due to their potential to revolutionize how data is processed and analyzed in real-time at the edge of the network. In the context of Intelligent Transportation Systems (ITS), these technologies hold great promise for improving traffic management, road safety, and overall transportation efficiency. This thesis aims to explore the application of Edge Computing and Fog Computing in ITS, with a focus on addressing the challenges and opportunities in the field.

The literature review will provide a comprehensive overview of Edge and Fog Computing, the evolution of ITS, applications of these technologies in transportation, challenges faced by the industry, case studies, security and privacy issues, and future trends. The research methodology section will outline the research design, data collection methods, sampling techniques, data analysis procedures, and ethical considerations.

The discussion of findings will present the results of data analysis, compare findings with existing studies, discuss implications, provide recommendations for implementation, and suggest future research directions. The conclusion and summary chapter will summarize the key findings, highlight contributions to knowledge, discuss practical implications, recommend future research areas, and provide a comprehensive conclusion to the thesis.

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