Virtual Racing Matchmaking With 3D Vehicle Modification Tracking
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Solution Overview
Problem
Current on-demand racing networks lack efficient means to organize competitive races between drivers in different geographic areas, fail to track vehicle modifications, and are limited by geographic reach and language barriers, posing inefficiencies and risks for users.
Innovation Solution
A computer-implemented method for rendering a graphic representation of vehicles in a virtual three-dimensional world, using a tree data structure to track vehicle modifications, and determining winners/losers based on performance metrics, with a system for ranking drivers and facilitating virtual car storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a centralized online platform is implemented to organize competitive racing events across geographic areas, then the geographic reach and organization efficiency are improved, but the system complexity and infrastructure requirements increase
Solution Approach 1:
The online platform serves multiple functions including event organization, driver registration, vehicle modification tracking, performance metric collection, and winner determination within a single integrated system, eliminating the need for separate systems for each function and reducing overall complexity despite expanded geographic reach
Solution Approach 2:
The centralized server acts as an intermediary between drivers, vehicles, and racing events, managing all data storage, processing, and coordination centrally. This mediator approach simplifies the system architecture by providing a single point of control rather than requiring complex peer-to-peer coordination across multiple geographic locations
2Measurement precision
If vehicle modification tracking is implemented to assess performance accurately, then the measurement precision of vehicle performance is improved, but the data collection and processing requirements increase
Solution Approach 1:
The vehicle modification data is segmented into structured categories including modification type, part identifiers, installation dates, and performance impacts. This segmentation allows for efficient data organization and retrieval, reducing the processing burden despite the large volume of modification data collected across multiple vehicles and events
Solution Approach 2:
The system implements feedback loops where performance metrics from racing events are continuously compared against recorded vehicle modifications. This feedback mechanism allows the system to automatically update performance assessments and identify correlations between specific modifications and performance outcomes, improving measurement precision through iterative data refinement
3Reliability
If performance metrics are collected and processed to determine winners and rankings, then the competitiveness and fairness of racing events are improved, but the computational requirements and processing time increase
Solution Approach 1:
Performance metrics such as acceleration times, top speed, and handling characteristics are measured and recorded during each racing event before final rankings are determined. This preliminary data collection allows for immediate performance assessment and eliminates the need for lengthy post-event analysis, reducing processing time while maintaining fair and accurate winner determination
Solution Approach 2:
The system transforms raw performance data into standardized performance metrics through parameter changes and normalization. By converting various measurement types into comparable standardized parameters, the system enables rapid computational processing and fair comparison across different vehicle types and racing conditions, improving both reliability and processing efficiency
Data Source
AI summary
A computer program product, system, and computer-implemented method for brokering an online racing event between a plurality of drivers and storing data relating to modifications of performance vehicles in a virtual garage. The method includes creation of a virtual vehicles from data structures of included components, and historical data relating to aftermarket components and accessories added to the vehicle. Drivers may be matched together using a matching algorithm, and racing data gathered in real time during a racing event is used to determine a relative performance rating for each driver. An available pool of drivers is determined based on said driver's performance rating and a driver selection criteria.