Curb Capacity Price-Time Queues for Flexible Route Allocation
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Solution Overview
Problem
Current systems lack dynamic virtual topology market queues and price-time priority queues for curb space units, leading to inefficiencies in transportation, delivery, and parking systems, limiting flexibility and transferability of curb capacity units, and failing to account for contingencies and legal transformations.
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 a computing system to process and display price-time priority queues for curb, parking, and air space capacity units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If dynamic virtual topology market queues and price-time priority queues are implemented for curb space units, then flexibility and transferability of curb capacity units are improved, but system complexity increases
Solution Approach 1:
The system segments curb capacity into discrete, tradable units that can be independently managed and exchanged through market queues. This segmentation enables flexibility and transferability while maintaining manageable system complexity through modular unit-based operations.
Solution Approach 2:
The patent introduces market queues and price-time priority mechanisms as intermediary systems between curb capacity providers and users. These intermediaries facilitate flexible transactions and transfers while abstracting the complexity of direct negotiations and matching, thereby improving adaptability without proportionally increasing overall system complexity.
2Productivity
If market-based transactions with price-time priority queues are implemented, then efficiency of curb capacity utilization is improved, but computational requirements and processing complexity increase
Solution Approach 1:
The system uses price and time as key parameters to prioritize and match curb capacity transactions. By changing the prioritization parameters to price-time based ordering, the system efficiently allocates curb capacity without requiring complex optimization algorithms, thereby improving productivity while keeping computational requirements manageable.
3Loss of information
If virtual hubs and optimized routing based on market data are implemented, then transparency of market-based transactions is improved, but data processing requirements increase
Solution Approach 1:
The market queue system operates autonomously to match and execute curb capacity transactions based on price-time priority rules. This self-service mechanism provides transparent transaction processing without requiring extensive external data analysis or intervention, thereby improving information transparency while keeping data processing requirements at manageable levels.
Data Source
AI summary
Various implementations directed to price time priority queue routing for curb, sidewalk 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 curb capacity units and curb 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 curb capacity as a fungible asset class or curb capacity as an open market with trading and securitization transformations.