Dynamic Directional Filter for Transportation Match Probability
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Solution Overview
Problem
Conventional on-demand transportation information systems face limitations in operational functionality, efficiency, and accuracy due to rigid algorithms and user interfaces, leading to inefficient and inaccurate transportation matches.
Innovation Solution
The geotemporal destination system introduces a deviation angle control element and transportation match probability indicator, allowing providers to dynamically adjust directional filters and receive feedback on match probabilities, enhancing user interface efficiency and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional systems use fixed parameters in matching algorithms, then system stability is maintained, but flexibility and adaptability are reduced
Solution Approach 1:
The system dynamically adjusts matching parameters based on real-time conditions. The directional filter cone angle is not fixed but can be modified by users and adjusted by the system based on provider density, request patterns, and geographic context, allowing the algorithm to adapt while maintaining overall system balance through controlled modifications.
Solution Approach 2:
The patent implements variable parameters in the matching algorithm, specifically the directional filter cone angle and other contextual parameters that can be adjusted based on system conditions. This allows the system to change parameters dynamically rather than using fixed values, resolving the contradiction between stability and adaptability.
2Productivity
If conventional systems provide limited user interface control, then system complexity is reduced, but operational efficiency and user satisfaction deteriorate
Solution Approach 1:
The system provides match probability indicators that give immediate feedback to users about the likelihood of successful matches. This feedback mechanism allows users to understand system behavior and adjust their parameters accordingly, improving operational efficiency without requiring complex interface controls by making the system's decision-making transparent.
Solution Approach 2:
The system automatically adjusts many parameters based on contextual information and user preferences, reducing the need for complex manual configuration. The directional filter and matching parameters are self-adjusting based on provider density, request patterns, and other contextual factors, simplifying the user interface while maintaining high operational efficiency.
3Measurement precision
If conventional systems use rigid directional algorithms, then algorithm simplicity is maintained, but matching accuracy deteriorates
Solution Approach 1:
The patent applies different matching criteria and algorithmic approaches in different local contexts. The directional filter cone parameters are adjusted based on local provider density, geographic characteristics, and request patterns, allowing high accuracy in each local context without requiring a completely complex global algorithm. Each region can have optimized parameters tailored to its specific characteristics.
Data Source
AI summary
The present disclosure relates to systems, non-transitory computer-readable media, and methods for, within a transportation matching system, identifying a threshold deviation angle or a threshold deviation radius, determining a directional filter, and providing a transportation match probability indicator based on the directional filter. In particular, in one or more embodiments, the disclosed systems provide a deviation angle control element or a dispatch radius control element for selectively designating the threshold deviation angle or the threshold deviation radius. In one or more embodiments, the disclosed systems update the transportation match probability indicator based on user manipulation of the deviation angle control element or the dispatch radius control element.