Autonomous Vehicles Enabled by the Integration of IoT, Edge Intelligence, 5G, and Blockchain

Area of Science:

• Automotive Engineering
• Computer Science
• Information Technology

Background:

• The automotive industry is undergoing a significant transformation towards automated driving systems.
• Autonomous vehicles (AVs) are becoming central to the future of intelligent transportation systems (ITS).
• Stringent safety, security, and reliability requirements are critical for AV adoption.

Purpose of the Study:

• To review the state-of-the-art integration of key technologies into AV architectures.
• To analyze the impact and challenges associated with technologies like IoT, edge intelligence, 5G, and Blockchain in AVs.
• To provide insights into seamless integration strategies and future research directions for AV development.

Main Methods:

• Comprehensive literature review of recent advancements in autonomous vehicle technology.
• Analysis of the role and challenges of Internet of Things (IoT), edge intelligence (EI), 5G, and Blockchain in AVs.
• Exploration of technological interdependencies and integration strategies for AVs.

Main Results:

• Identified key enabling technologies (IoT, EI, 5G, Blockchain) crucial for AV advancement.
• Detailed the specific impacts and inherent challenges of integrating each technology into AV systems.
• Highlighted the necessity of synergistic integration for achieving efficient and secure autonomous transportation.

Conclusions:

• The integration of IoT, EI, 5G, and Blockchain is vital for realizing the full potential of autonomous vehicles.
• Addressing the identified challenges through seamless integration is key to ensuring AV safety, security, and reliability.
• Future research should focus on synergistic integration and novel applications to accelerate AV development and deployment.