Blockchain Transport Responsibility Assignment
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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, assigning these values based on the event and sub-events, ensuring 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 assignment is improved, but system complexity and administrative burden increase
Solution Approach 1:
The patent segments the responsibility assignment system into distinct modules: event detection module that identifies transport events, responsibility calculation module that computes fractional values, and record-keeping module that stores assignments. This segmentation allows each component to handle specific tasks independently, improving measurement precision while managing system complexity through modular architecture.
Solution Approach 2:
The patent introduces a centralized server as an intermediary that mediates between multiple user devices and the blockchain database. The server consolidates responsibility for tracking and calculating fractional responsibility values, reducing the complexity burden on individual user devices while maintaining accurate records through the intermediary's coordinated management.
2Adaptability or versatility
If fractional responsibility values are calculated based on multiple sub-events, then fairness of cost distribution is improved, but computational requirements and processing time increase
Solution Approach 1:
The patent implements preliminary action by pre-defining responsibility value frameworks and sub-event categories before transport events occur. The system establishes baseline fractional responsibility values and predefined weighting factors for different sub-event types, allowing rapid calculation during actual events without requiring complex real-time computations, thus improving fairness while reducing processing time.
Solution Approach 2:
The patent applies parameter changes by dynamically adjusting fractional responsibility values based on specific sub-event parameters such as duration, distance, amenities used, and pickup/drop-off priority. The system modifies base responsibility values through multiplicative factors tied to measurable parameters, enabling flexible and fair cost distribution while maintaining computationally efficient calculations through standardized parameter adjustments.
3Loss of information
If comprehensive transport event tracking is implemented, then transparency of responsibility assignment is improved, but data storage requirements and system resources increase
Solution Approach 1:
The patent extracts and stores only the essential elements of transport events in the blockchain database: event identification, participant identifiers, fractional responsibility values, and key sub-event categories. By extracting only the critical data elements needed for transparency rather than storing complete event details, the system maintains transparent responsibility assignment while minimizing data storage requirements and resource consumption.
4Productivity
If multiple occupants share transport benefits, then utilization efficiency of vehicles is improved, but difficulty of managing different user benefits increases
Solution Approach 1:
The patent implements universality by creating a unified fractional responsibility system that handles multiple types of user benefits through a single framework. The same calculation mechanism manages diverse benefits including extended vehicle use, prioritized pickup/drop-off, and amenity access, all represented as adjustable fractional values. This universal approach improves vehicle utilization efficiency while maintaining ease of operation through consistent management procedures across different benefit types.
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.


