Autonomous Vehicle Event Ledger for Smart Liability Enforcement
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Solution Overview
Problem
Current systems lack a trusted mechanism to automatically enforce liability arrangements associated with autonomous vehicles, which shift between manual and autonomous control, leading to uncertainties in liability allocation among operators, insurers, and manufacturers.
Innovation Solution
A distributed ledger system is utilized to record and enforce smart contracts, leveraging sensors and transceivers to monitor autonomous vehicle events, compile them into a blockchain, and distribute the data across a network to maintain an up-to-date shared ledger, enabling automatic enforcement of liability arrangements based on recorded events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a distributed ledger system is implemented to record and enforce smart contracts for autonomous vehicle liability, then transparency and objectivity in liability enforcement are improved, but system complexity and data storage requirements increase
Solution Approach 1:
The system segments the distributed ledger into specialized components: event detection modules that capture specific autonomous vehicle operations, smart contract modules that encode liability rules, and pruning modules that selectively remove obsolete data. This segmentation allows each component to operate independently with optimized complexity, while collectively providing reliable liability enforcement through their coordinated interaction.
2Measurement precision
If all autonomous vehicle events are recorded in detail in the blockchain, then measurement precision and accountability are improved, but data size and network congestion increase
Solution Approach 1:
The system extracts only the essential elements required for liability determination from complete autonomous vehicle event data. Instead of storing all sensor readings and operational parameters, the system identifies and records only those events that trigger smart contract conditions or affect liability allocation. This extraction maintains measurement precision for accountability while dramatically reducing the volume of data stored in the blockchain.
Solution Approach 2:
The system implements a pruning mechanism that discards obsolete event data that is no longer relevant for liability enforcement. As new events are recorded and processed, older events that have been fully evaluated by smart contracts and no longer affect current or future liability determinations are selectively removed from the blockchain. This discarding of redundant data reduces storage requirements and network congestion while preserving the precision needed for active liability assessments.
Data Source
AI summary
Methods and systems for building, utilizing, and/or maintaining an autonomous vehicle-related event distributed ledger or blockchain are provided. One or more processors may receive indications of autonomous vehicle events. The autonomous vehicle events may include information relating to technology usage and/or operational events. The autonomous vehicle events may be compiled into a log of recorded autonomous vehicle events. Based upon the autonomous vehicle events, an action to implement bay be determined. Additionally, the log may be distributed to a public or private network of distributed nodes. As a result, the distributed nodes may maintain an up-to-date record of the shared ledger of autonomous vehicle events.