Blockchain Transport Responsibility Allocation
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Solution Overview
Problem
Record keeping for multi-user transport events is burdensome, especially when users receive different benefits such as extended vehicle use, prioritized pickup and drop-off, and varying access to amenities, requiring detailed delegation of costs and responsibilities.
Innovation Solution
A method and system using a blockchain-based decentralized database to determine fractional responsibility values for occupants participating in transport events, based on event and sub-event participation, and assign these values to ensure equitable distribution of responsibilities and benefits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed record keeping is implemented for multi-user transport events, then accuracy of responsibility allocation is improved, but system complexity increases
Solution Approach 1:
The patent segments the transport event into multiple sub-events (pickup, drop-off, amenity usage, etc.), with each sub-event tracked independently. This segmentation allows for precise attribution of responsibilities to specific occupants for specific actions, improving measurement precision while managing complexity through modular event tracking.
Solution Approach 2:
The patent introduces a server as an intermediary that automatically processes and records transport events. The server receives data from vehicle systems, determines responsibility allocations, and maintains records, thereby reducing the complexity burden on the vehicle system itself while ensuring accurate tracking of all sub-events.
2Ease of operation
If fractional responsibility values are calculated for multiple occupants, then fairness of cost distribution is improved, but computational requirements increase
Solution Approach 1:
The patent performs preliminary calculations of fractional responsibility values based on pre-defined criteria (duration of use, amenity access, pickup/drop-off priority). By establishing these allocation rules in advance, the system can quickly compute fair distributions without requiring complex real-time calculations, thus reducing computational power requirements while maintaining fairness.
3Loss of information
If comprehensive sub-event tracking is implemented, then transparency of benefit distribution is improved, but data management complexity increases
Solution Approach 1:
The patent implements a universal event tracking framework that handles multiple types of sub-events (pickup, drop-off, amenity usage, violations) through a common data structure and processing mechanism. This multi-functional approach ensures transparent tracking of all benefits and responsibilities while managing data complexity through standardized event types and centralized server processing.
Data Source
AI summary
An example operation may include determining a fractional responsibility of an event, a sub-event and/or an occupant associated with a transport.


