Provider Device Selection With Dynamic Future-Window Thresholds

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Solution Overview

Problem

Conventional transportation matching systems face inefficiencies due to inflexible operation and resource wastage, particularly in matching provider vehicles with requestors, leading to excessive travel times, duplicate communications, and computational overheads.

Innovation Solution

The efficiency metric matching system provides graphical user interfaces with varying time windows and dynamic threshold provider device efficiency metrics to flexibly select provider devices, allowing for future time window options and optimizing resource utilization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Speed

If conventional transportation matching systems immediately match provider devices with requestors, then response speed is improved, but provider device efficiency deteriorates due to excessive travel times and resource wastage

Engineering Contradiction:

Improveresponse speedVSAvoidprovider device efficiency

Core Design Contradiction:

SpeedVSProductivity

Solution Approach 1:

The system performs preliminary actions by determining a future time window before immediately matching provider devices. It proactively identifies potential provider devices and monitors their efficiency metrics over time, preparing matched pairs in advance within the future time window, thus avoiding rushed matching that leads to inefficient provider utilization

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system dynamically adjusts the threshold efficiency metric based on the future time window and historical data. Instead of using a static matching criterion, the threshold evolves over time, allowing the system to balance immediate response needs with provider efficiency by adapting the matching criteria as the future time window progresses

Inventive Principle:

Principle #15Dynamics

2Ease of operation

If conventional systems use fixed matching criteria, then operational simplicity is improved, but flexibility deteriorates due to inability to adapt to varying time windows and provider conditions

Engineering Contradiction:

Improveoperational simplicityVSAvoidflexibility

Core Design Contradiction:

Ease of operationVSAdaptability or versatility

Solution Approach 1:

The system replaces fixed matching criteria with dynamic threshold efficiency metrics that automatically adapt to varying conditions. The threshold changes based on the future time window duration and historical provider performance data, enabling the system to flexibly respond to different scenarios while maintaining automated operation

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system incorporates feedback mechanisms by using historical data to continuously refine the threshold efficiency metric. Provider device efficiency metrics are monitored over time, and this feedback informs future matching decisions, allowing the system to adapt to changing provider conditions and performance patterns

Inventive Principle:

Principle #23Feedback

3Reliability

If conventional systems perform multiple duplicate communications to ensure matching accuracy, then matching reliability is improved, but computational overhead increases

Engineering Contradiction:

Improvematching reliabilityVSAvoidcomputational overhead

Core Design Contradiction:

ReliabilityVSLoss of energy

Solution Approach 1:

The system employs self-service mechanisms where provider devices autonomously report their efficiency metrics to the matching system. This eliminates the need for multiple duplicate communications to verify provider status, as providers self-report their availability and performance data, reducing computational overhead while maintaining matching reliability

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs preliminary verification of provider device efficiency metrics before initiating the matching process. By pre-validating provider credentials and efficiency data within the future time window, the system reduces the need for repeated verification communications during the actual matching operation

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS12450527B2Utilizing provider device efficiency metrics to select a provider device for a future time window

Publication Date: 2025.10.21 LYFT INC

AI summary

The present disclosure relates to systems, non-transitory computer readable media, and methods that provide graphical user interfaces comprising future transportation options with varying time windows at different transportation values and dynamically analyze the time windows to identify provider devices to fulfill transportation requests based on provider device efficiency metrics. For instance, the disclosed systems can delay selection of a provider device within a future time window utilizing a dynamic threshold provider device efficiency metric. For instance, the disclosed systems can analyze historical distributions of provider devices to generate a transition probability matrix that is utilized to analyze current provider devices and determine a threshold provider device efficiency metric that reflects the likelihood of identifying more efficient matches in the future. The disclosed systems can compare the determined threshold to anticipated efficiency metrics for individual provider devices to generate matches for digital transportation requests.