Multi-party collaborative automatic driving traffic responsibility determination method and system
By using hash-based on-chain evidence storage and cross-verification with spatiotemporal consistency graphs, and dynamically calculating trusted weights, the problems of data tampering and privacy leakage in the determination of liability for traffic accidents involving autonomous driving are solved, achieving efficient and reliable liability determination.
Patent Information
- Application Number
- CN202610726058.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-05-25
- Publication Date
- 2026-08-28
AI Technical Summary
The existing process for determining liability in traffic accidents involving autonomous driving is inefficient, data is easily tampered with, privacy protection is insufficient, and there is a lack of multi-source cross-verification and roadside data fusion, resulting in a lack of reliability and credibility in the determination of liability.
By employing a multi-party collaborative autonomous driving traffic liability determination method, hash-based on-chain evidence storage is used to ensure data immutability. Multi-source cross-validation is performed using a spatiotemporal consistency graph, and the trusted weight is dynamically calculated. The liability ratio is then calculated within a secure multi-party computation framework, generating a liability determination report and storing it on the blockchain.
It achieves efficient, reliable, and accurate automated liability determination while protecting data privacy, enhances the reliability and robustness of the liability determination process, and forms an undeniable automated liability determination closed loop.