Autonomous vehicles, also known as self-driving cars, represent a revolutionary shift in transportation. In the context of dynamic routing, autonomous vehicles adapt to real-time conditions using algorithms such as reinforcement learning, real-time traffic analysis, and genetic algorithms. These approaches optimize routes, consider traffic congestion, and adapt to changing scenarios. Furthermore, blockchain technology is emerging as a powerful tool in the autonomous vehicle ecosystem, providing secure data sharing, identity verification, and smart contract applications. However, challenges related to privacy and integration persist, but as blockchain continues to evolve, they are poised to shape the future of transportation by ensuring safe, efficient, and trustworthy autonomous mobility.

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A Survey on Dynamic Routing and Blockchain Integration in Autonomous Vehicle Networks: Enhancing Safety and Efficiency

  • Nakshatra Sree Sreedhar,
  • Tina Choudary Yalamanchili,
  • Sreenivas Nouduri,
  • M. R. Neethu

摘要

Autonomous vehicles, also known as self-driving cars, represent a revolutionary shift in transportation. In the context of dynamic routing, autonomous vehicles adapt to real-time conditions using algorithms such as reinforcement learning, real-time traffic analysis, and genetic algorithms. These approaches optimize routes, consider traffic congestion, and adapt to changing scenarios. Furthermore, blockchain technology is emerging as a powerful tool in the autonomous vehicle ecosystem, providing secure data sharing, identity verification, and smart contract applications. However, challenges related to privacy and integration persist, but as blockchain continues to evolve, they are poised to shape the future of transportation by ensuring safe, efficient, and trustworthy autonomous mobility.