Transportation Capacity Routing With Virtual Hubs And Market Depth
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Transportation and freight capacity units lack dynamic routing based on market dynamics, transparency, and transferability, limiting the formation of efficient routing sequences and inhibiting the ability to trade their value due to legal and physical constraints.
Innovation Solution
Implementing price time priority queue routing that utilizes virtual hubs, market depth data, and travel cost data to optimize routes for transportation capacity units, allowing for the transformation of these units into forward commodities and enabling transactions through virtual hub sequences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional closed transportation systems are used, then operational simplicity is maintained, but market transparency and routing efficiency are limited
Solution Approach 1:
The patent introduces virtual hubs as intermediary nodes that mediate between transportation capacity units and the marketplace. These virtual hubs serve as transparent coordination points where routing decisions are made based on market dynamics, enabling information flow without requiring complete system restructuring. The virtual hubs act as intermediaries that maintain operational simplicity while enabling market transparency through standardized interfaces and protocols.
2Productivity
If dynamic market-based routing is implemented, then routing efficiency is improved, but system complexity increases
Solution Approach 1:
The patent implements dynamic routing by making the virtual hub network adaptable to changing market conditions. Routing sequences are not fixed but dynamically adjusted based on real-time price signals, capacity availability, and demand fluctuations. This dynamic approach enables the system to optimize routing efficiency continuously while maintaining manageable complexity through modular virtual hub components that can be added or modified independently.
Solution Approach 2:
The patent segments the transportation network into discrete virtual hubs that can operate independently yet coordinate collectively. Each virtual hub manages local routing decisions and market interactions, breaking down the complex global routing problem into manageable local segments. This segmentation allows the system to achieve high routing efficiency through distributed decision-making while keeping individual component complexity low.
3Adaptability or versatility
If transportation capacity units are made transferable, then market flexibility is improved, but legal and physical constraints increase
Solution Approach 1:
The patent creates virtual representations (copies) of transportation capacity units that can be traded in the marketplace without physically transferring the actual capacity. These virtual tokens or digital representations enable flexible market transactions while the physical transportation resources remain under controlled management. This copying approach provides market flexibility for trading and valuation while avoiding the legal and physical complexities of direct capacity transfer.
Data Source
AI summary
Various implementations directed to price time priority queue routing for transportation capacity units are provided. In one implementation, a method may include receiving origin location data and destination location data. The method may also include generating routes based on the origin location data and the destination location data. The method may further include determining virtual hubs along the 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 exchange units. In addition, the method may include receiving market depth data for a geolocation exchange for the geolocation exchange units based on the routes. The method may also include selecting an optimized route of the routes for the geolocation exchange units based on an objective function.