Toll Capacity Objects Using Price-Time Priority Queues
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Solution Overview
Problem
Current systems lack dynamic and transparent methods for tolling and congestion management across roadways, seaways, and airways, limiting the flexibility and efficiency of trading tolling capacity units, and failing to account for contingencies and legal transformations.
Innovation Solution
Implementing price-time priority queues for tolling over roadway, seaway, or airway capacity units, which involve receiving location data, generating routes, determining virtual hubs, and optimizing routes based on cost and market data to select the most efficient path for tolling and congestion management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional tolling and congestion management systems are used, then system simplicity is maintained, but flexibility and efficiency of trading tolling capacity units are limited
Solution Approach 1:
The system segments tolling capacity into discrete tradable units that can be independently bought and sold. Tolling capacity units are divided into specific time intervals and geographic zones, allowing flexible trading of individual capacity segments rather than managing tolling as a monolithic system.
Solution Approach 2:
The system implements dynamic pricing and capacity allocation through real-time market mechanisms. Tolling capacity prices and availability adjust dynamically based on supply and demand, enabling flexible trading responses to changing congestion conditions and market conditions.
2Productivity
If dynamic routing optimization is implemented, then efficiency of tolling capacity utilization is improved, but computational complexity increases
Solution Approach 1:
The system pre-calculates and stores optimal routes and tolling capacity requirements before market transactions occur. Routing algorithms generate predetermined efficient paths through the tolling network, and these pre-computed routes are stored for rapid retrieval and execution during market operations.
Solution Approach 2:
The system implements continuous feedback loops where market transaction data and actual traffic flow information are fed back into the routing optimization algorithms. This feedback enables the system to learn from actual performance and continuously improve route efficiency while adapting to changing conditions.
Data Source
AI summary
Various implementations directed to price time priority queue routing for tolling capacity on roadways, shipping lanes and air traffic zones over curb, sidewalk, roadway, air space, outer space, waterborne space and parking capacity units are provided. Implementations of various methods and systems to transform navigation routes with two waypoints or a destination waypoint or a series sequence of waypoints into objects which have associated price-time priority queues or other prioritizations for transformed toll and congestion capacity units and toll and congestion capacity unit specifications. The present disclosed invention relates to combining the concepts of objected oriented programming, market price queues, navigation systems and social networking and toll and congestion capacity as a fungible asset class or toll and congestion capacity as an open market with trading and securitization transformations.