Autonomous Vehicle Event Blockchain for Liability Enforcement
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Solution Overview
Problem
Current systems lack a trusted mechanism to automatically enforce liability arrangements associated with autonomous vehicles, as there is no efficient way to regulate and enforce smart contracts governing their operations, leading to uncertainties in liability distribution between operators, insurers, and manufacturers.
Innovation Solution
A distributed ledger system is employed to record and enforce smart contracts related to autonomous vehicle operations, using sensors to detect events and generate transactions that are compiled into blocks, ensuring a secure and immutable record of liability-related data, thereby automating the enforcement of liability arrangements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a distributed ledger system is implemented to enforce smart contracts, then reliability and trustworthiness of liability arrangements are improved, but device complexity and system infrastructure requirements increase
Solution Approach 1:
The system segments the distributed ledger functionality into modular components: sensor modules that detect autonomous vehicle events, transaction generation modules that create records, block compilation modules that organize transactions, and distribution modules that propagate updates across the network. This segmentation reduces overall system complexity while maintaining reliability through distributed verification.
Solution Approach 2:
The distributed ledger system is designed as a universal platform that can enforce multiple types of smart contracts across different autonomous vehicle operations, liability scenarios, and stakeholder agreements. This multi-functionality consolidates what would otherwise require multiple separate enforcement systems, reducing infrastructure complexity while enhancing reliability through consistent application of contractual terms.
2Measurement precision
If autonomous vehicle events are continuously recorded and distributed to the blockchain, then measurement precision and transparency of operations are improved, but data transmission volume and processing time increase
Solution Approach 1:
The system performs preliminary filtering and validation of autonomous vehicle events before they are compiled into blockchain transactions. Sensors detect events and the system pre-processes them to determine which meet the criteria for smart contract enforcement, organizing them into candidate blocks in advance. This preliminary action reduces the volume of data requiring full blockchain processing while maintaining precise recording of all relevant events.
Solution Approach 2:
Instead of continuously transmitting every sensor event to the blockchain, the system implements periodic batch processing where events are accumulated, validated, and compiled into blocks at scheduled intervals or when threshold conditions are met. This periodic action maintains measurement precision by capturing all events while significantly reducing transmission and processing time through efficient batching.
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.


