Price-Time Toll Capacity Queues for Dynamic Congestion Routing
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Solution Overview
Problem
Existing systems lack the ability to dynamically route and trade tolling capacity across roadways, seaways, and airways using transparent, market-based price-time priority queues, leading to inefficiencies and limited flexibility in managing congestion and capacity utilization, with no mechanisms for transferability, force majeure contingencies, or independent valuation of tolling units.
Innovation Solution
Implementing a method and system for price-time priority queue routing that includes receiving location data, generating routes, determining virtual hubs, and selecting optimized routes based on cost and market data, using computing systems to manage tolling over various spaces, including roadways, seaways, and airways, with mechanisms for transferability and contingency management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional closed non-transparent tolling systems are used, then system simplicity is maintained, but market flexibility and dynamic routing capability are lost
Solution Approach 1:
The tolling capacity is segmented into discrete tradable units that can be independently bought, sold, and routed in the market. This segmentation enables flexible market transactions while the underlying system structure remains manageable through modular unit-based processing
Solution Approach 2:
A market intermediary layer is introduced between the tolling authority and users, enabling dynamic price discovery and routing decisions. This intermediary market mechanism provides flexibility without requiring direct system complexity in the core tolling infrastructure
2Productivity
If static routing is used, then system complexity is reduced, but efficiency and responsiveness to congestion changes deteriorate
Solution Approach 1:
The routing system transitions from static to dynamic by allowing toll capacity units to be actively traded and reassigned based on real-time congestion conditions. Routes and capacity allocations adapt automatically through market mechanisms rather than fixed predetermined paths
Solution Approach 2:
The system incorporates continuous feedback loops where congestion data, pricing information, and trading activity inform routing decisions. This feedback mechanism enables efficient adaptive routing while managing complexity through information-based control rather than complex mechanical systems
3Productivity
If tolling capacity cannot be transferred, then legal and administrative complexity is reduced, but resource allocation efficiency deteriorates
Solution Approach 1:
The toll capacity unit is designed as a universal tradable instrument that can be transferred across different routes, time periods, and users. This multi-functional design enables efficient resource reallocation while the standardized unit structure keeps the transferability mechanism relatively simple
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.