Harnessing blockchain for secure, decentralized data sharing in autonomous driving ecosystems. 利用区块链技术，在自动驾驶生态系统中实现安全的去中心化数据共享。 But right now it's just an idea, I'll make it happen step by step.
This project aims to explore the integration of blockchain technology in creating a decentralized autonomous driving system. By leveraging blockchain, we aim to achieve secure and efficient vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) data sharing, enhancing the capabilities and safety of autonomous driving technologies.
- Secure Data Sharing: Utilize blockchain for secure and immutable data exchanges between vehicles and infrastructure.
- Decentralization: Implement a decentralized network that eliminates single points of failure, enhancing the robustness of the autonomous driving ecosystem.
- Real-time Traffic Management: Develop algorithms for real-time traffic optimization, route planning, and congestion avoidance.
- Privacy Preservation: Ensure the privacy of users and sensitive data through encryption and smart contract controls.
- Blockchain Selection: Choose a suitable blockchain platform considering scalability, speed, and smart contract capabilities.
- Smart Contract Development: Design and develop smart contracts for data sharing, authentication, and transaction management.
- Vehicle Client Application: Create client applications for vehicles to interact with the blockchain, send data, and receive updates.
- Simulation and Testing: Test the system in simulated environments to ensure performance and security.
- Deployment: Deploy the system in a controlled real-world environment for pilot testing.
- Blockchain Platform: Ethereum / Hyperledger
- Programming Languages: Solidity, Python
- Tools and Libraries: Web3.py, Truffle, Ganache
We welcome contributions from the community, whether it's improving the code, adding new features, or reporting bugs. Please see CONTRIBUTING.md for more details on how to contribute.
This project is licensed under the MIT License - see the LICENSE file for details.
For a detailed guide and discussion in Chinese, please refer to the README_ZH.md file.