Geolocation Time-Interval Units With Price-Time Priority Queues
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Solution Overview
Problem
Existing systems lack the ability to dynamically organize and trade time interval units as commodities, lacking transparent market price-based inputs, leading to inefficiencies in routing and transferability, and failing to account for contingencies and legal transformations.
Innovation Solution
Implementing price-time priority queues for time interval units, which involve receiving location data, generating routes, determining virtual hubs, and selecting optimized routes based on travel cost and market depth data using an objective function.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If time interval units are traded without price-time priority queues, then market transparency and dynamic routing are limited, but system complexity increases and efficiency decreases
Solution Approach 1:
The system segments time interval units into tradable commodities with distinct price-time priority queues, allowing transparent market-based routing decisions while maintaining manageable system complexity through modular queue structures
Solution Approach 2:
Price-time priority queues act as intermediaries between users and time interval resources, providing transparent market pricing mechanisms that simplify complex routing decisions through automated queue-based allocation
2Adaptability or versatility
If time interval units are made transferable and tradable, then flexibility and access speed improve, but legal and physical transformation mechanisms must be established
Solution Approach 1:
The system changes the parameter state of time interval units from static reservations to dynamic tradable commodities, enabling transferability through price-time priority queues that automatically handle legal and physical transformation requirements
Solution Approach 2:
Time interval units are transformed from fixed, non-transferable reservations to dynamic, tradable assets with price-time priority queues that automatically adjust to market conditions and facilitate flexible transferability
3Productivity
If market-based routing with price-time priority queues is implemented, then efficiency and transparency improve, but calculation mechanics and valuation transformations are required
Solution Approach 1:
The price-time priority queue system performs self-service routing calculations by automatically valuing time interval units and determining optimal routes based on market prices, eliminating the need for external calculation mechanics
Solution Approach 2:
The system implements feedback loops where market pricing information from price-time priority queues continuously informs routing decisions, creating automated valuation transformations that improve efficiency without requiring complex external calculation mechanisms
Data Source
AI summary
Various implementations directed to price time priority queue routing for time interval object capacity units are provided. The method may also include generating data packet routes based on the origin location data and the destination location data. The method may further include determining virtual hubs along the data packet routes, where the virtual hubs include a first virtual hub based on the origin location data and a second virtual hub based on the destination location data. The method may additionally include receiving travel cost data for the routes for geolocation time interval object exchange units. In addition, the method may include receiving market depth data for a geolocation exchange for the geolocation exchange units based on the data packet routes. The method may also include selecting an optimized route of the routes for the geolocation exchange units based on an objective function.