Dynamic Queue Notifications Using Real-Time Throughput Rates
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Solution Overview
Problem
Conventional transportation matching systems face inaccuracies, inefficiencies, and lack of flexibility in managing digital queues at congested venues due to static modeling and failure to account for real-time variations in throughput and congestion.
Innovation Solution
A transportation matching system that dynamically adjusts digital requestor queues by monitoring real-time throughput rates and queue status, using queue modifiers to generate notifications that suggest alternative locations, modify pick-up times, or adjust prices based on provider and throughput-based metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If static modeling is used to manage digital queues, then system simplicity is maintained, but accuracy and adaptability to real-time congestion variations deteriorate
Solution Approach 1:
The patent transforms the static queue management model into a dynamic one by continuously monitoring real-time throughput rates and adjusting queue thresholds based on current system conditions. The system now adapts queue parameters dynamically rather than using fixed static values, resolving the contradiction between accuracy and complexity by making the system responsive to real-time variations.
Solution Approach 2:
The patent implements feedback mechanisms where the system monitors actual queue performance and throughput rates, then uses this information to adjust queue thresholds and management parameters. This closed-loop feedback approach improves accuracy by continuously optimizing queue management based on real-world conditions while maintaining manageable complexity through automated adjustments.
2Measurement precision
If real-time throughput monitoring is implemented, then queue management accuracy improves, but system resource consumption increases
Solution Approach 1:
The patent applies partial monitoring by focusing computational resources on critical queue parameters and throughput metrics that have the greatest impact on queue management decisions. Rather than monitoring all possible system parameters in real-time, the system selectively monitors key metrics, improving accuracy where it matters most while conserving system resources.
Solution Approach 2:
The patent dynamically adjusts monitoring parameters and thresholds based on system conditions, changing the level of monitoring intensity according to current queue states and throughput patterns. This allows the system to maintain high measurement accuracy when needed while reducing resource consumption during periods of lower volatility or lower priority.
3Adaptability or versatility
If dynamic queue adjustments are made based on throughput rate, then adaptability to congestion changes improves, but computational complexity increases
Solution Approach 1:
The patent implements dynamic queue threshold adjustment where the system automatically modifies queue parameters based on real-time throughput rate monitoring. This dynamic approach allows the queue management system to adapt to changing congestion conditions without manual intervention, improving adaptability while the automated nature of the adjustments helps manage computational complexity.
Solution Approach 2:
The patent changes key queue management parameters such as queue thresholds and notification triggers based on monitored throughput rates and system conditions. By dynamically adjusting these parameters rather than using fixed values, the system achieves high adaptability to congestion changes while the parameter-based approach keeps computational requirements manageable compared to more complex optimization algorithms.
Data Source
AI summary
The present disclosure relates to systems, non-transitory computer-readable media, and methods for dynamically controlling requestor device queues by monitoring and utilizing the throughput rate of matched provider devices and requestor devices. In some embodiments, the disclosed systems determine throughput rate of matched provider devices and requestor devices in real-time and/or predicts throughput rate utilizing historical features of a particular location. The disclosed systems can generate and provide queue request notifications to requestor devices based on a throughput rate at the location. Specifically, the disclosed systems can monitor a current queue status over time, compare the queue status to a queue threshold, and dynamically generate queue request notifications that reflects throughput-based queue modifiers as the current queue status approaches the queue threshold.