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Introduction:

In recent years, autonomous vehicle technology has rapidly evolved, with the potential to revolutionize transportation systems across the globe. One of the key challenges facing autonomous vehicles is ensuring smooth communication and coordination between vehicles to enhance safety, efficiency, and overall performance. Edge computing has emerged as a promising solution to address the communication and computation needs of autonomous vehicles, particularly in the context of platooning.

Platooning involves a group of vehicles traveling closely together in a coordinated manner, which can significantly reduce fuel consumption, decrease traffic congestion, and improve overall traffic flow. However, effective communication and real-time data processing are crucial for the successful implementation of autonomous vehicle platooning. Edge computing, which involves processing data at the edge of the network, close to where data is generated, offers low latency and high bandwidth, making it an ideal solution for the communication and computation requirements of autonomous vehicle platooning.

This thesis aims to explore the potential of edge computing for autonomous vehicle platooning, focusing on the communication and coordination challenges and opportunities. By investigating the impact of edge computing on autonomous vehicle platooning, this research contributes to the growing body of knowledge on the intersection of edge computing and autonomous vehicles.

Table of Contents:

Chapter 1: Introduction
1.1 Introduction
1.2 Background of the 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 2: Literature Review
2.1 Introduction to Autonomous Vehicle Platooning
2.2 Edge Computing in Autonomous Vehicles
2.3 Communication Challenges in Autonomous Vehicle Platooning
2.4 Coordination Strategies in Platooning
2.5 Edge Computing Technologies for Autonomous Vehicles
2.6 Real-time Data Processing in Platooning
2.7 Benefits of Edge Computing for Platooning
2.8 Edge Computing Architectures
2.9 Security and Privacy Concerns in Edge Computing
2.10 Future Trends in Autonomous Vehicle Platooning

Chapter 3: Research Methodology
3.1 Introduction
3.2 Research Design
3.3 Data Collection Methods
3.4 Data Analysis Techniques
3.5 Sampling Procedures
3.6 Ethical Considerations
3.7 Case Study Approach
3.8 Limitations of Research Methodology

Chapter 4: Discussion of Findings
4.1 Introduction
4.2 Data Analysis
4.3 Communication and Coordination in Platooning
4.4 Edge Computing Solutions
4.5 Impacts on Fuel Efficiency
4.6 Performance Evaluation
4.7 Integration Challenges
4.8 Recommendations for Future Research

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusion
5.3 Contributions to Knowledge
5.4 Practical Implications
5.5 Future Research Directions

This thesis provides a comprehensive analysis of the potential of edge computing for autonomous vehicle platooning, addressing communication and coordination challenges, exploring edge computing technologies, and offering recommendations for future research. The findings of this study will contribute to the ongoing development of autonomous vehicle technology and pave the way for more efficient and sustainable transportation systems.

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