Decentralized Blockchain Driving Data System for Autonomous Vehicle Risk Alerts
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Solution Overview
Problem
Centralized databases face issues such as single points of failure, dependency on network connectivity, limited data access, and data redundancy, which pose challenges in ensuring safety and reliability for human, semi-autonomous, and autonomous vehicles.
Innovation Solution
A decentralized database system using blockchain technology collects and processes driving data from distributed sources to estimate and alert for elevated driving risks, providing real-time alerts through IoT devices, ensuring data integrity and accessibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a centralized database is used to store driving data, then data management and control are simplified, but the system has a single point of failure and is highly dependent on network connectivity
Solution Approach 1:
The patent divides the centralized database into multiple distributed nodes across the blockchain network. Each node maintains a copy of the driving data, eliminating the single point of failure. This segmentation allows the system to remain operational even if some nodes fail, directly resolving the contradiction between ease of management and system reliability.
Solution Approach 2:
The patent creates multiple copies of the driving data across different blockchain nodes. Instead of storing data in a single centralized location, the same data is replicated across the distributed network. This copying mechanism ensures data availability and system reliability while maintaining the simplicity of data access through standard blockchain operations.
2Reliability
If driving data is collected from multiple distributed sources, then data accessibility and redundancy are improved, but data integration and processing complexity increases
Solution Approach 1:
The patent implements a universal blockchain protocol that can handle data from multiple distributed sources (sensors, cameras, radar, other vehicles) through a single standardized interface. The blockchain network serves multiple functions: data collection, validation, storage, and sharing, all through the same distributed ledger mechanism. This multi-functionality reduces integration complexity while maintaining high data accessibility.
Solution Approach 2:
The patent transforms heterogeneous driving data from different sources into a standardized format using blockchain transactions. By changing the parameter representation of data from diverse formats to a unified blockchain transaction structure, the system simplifies data integration while maintaining the benefits of distributed data collection and redundancy.
3Reliability
If real-time driving data processing is implemented to detect elevated risk states, then driver and vehicle safety is improved, but computational requirements and energy consumption increase
Solution Approach 1:
The patent extracts the computationally intensive risk analysis functions from the moving vehicles and places them on the stationary blockchain network. Vehicles only need to collect data and submit transactions to the blockchain, while the complex state estimation and risk evaluation are performed by processors connected to the blockchain. This extraction significantly reduces the energy consumption of moving objects while maintaining real-time safety monitoring.
Solution Approach 2:
The patent introduces the blockchain network as an intermediary between data collection and risk analysis. Instead of vehicles directly performing complex computations, they use the blockchain as a mediator to store and share data, which is then processed by external analytical systems. This intermediary approach allows real-time safety monitoring without requiring high computational power in the vehicles themselves.
Data Source
AI summary
An example operation may include one or more of collecting a set of driving data, estimating, from the set of driving data, one or more states that are predictive of an elevated driving risk of an adverse event endangering at least one of a driver, a vehicle's occupants or a vehicle's cargo, determining, from the one or more estimated states, an existence of an elevated driving risk, and alerting at least one of the vehicle, driver or the vehicle's occupants to the existence of the elevated driving risk.