Shared Vehicle Popularity Visualization via RGB Color Mapping
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Solution Overview
Problem
Current methods for stationing shared vehicles lack accuracy in determining optimal locations based on user data, often resulting in unbalanced supply-demand relationships and inconvenience for users due to manual planning without real-time popularity assessments.
Innovation Solution
A method that collects user geographical positions when shared vehicles are used and returned, calculates popularity indices for each positional area, and generates visual charts using RGB color mapping to identify high-demand areas for more precise stationing planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual planning methods are used for stationing shared vehicles, then the planning process is simple and quick, but the accuracy of determining optimal locations is low resulting in unbalanced supply-demand relationships
Solution Approach 1:
The patent replaces manual mechanical planning with an automated computer-based system that collects user geographical position data, calculates popularity indices, and generates visual charts. This substitution of manual processes with automated computational methods enables accurate determination of optimal stationing locations while maintaining system simplicity through standardized algorithms.
Solution Approach 2:
The system enables self-service by automatically collecting user usage data, computing popularity metrics for different areas, and generating stationing recommendations without requiring manual intervention. The automated population of the popularity index database and generation of visual charts allows the system to serve itself in identifying optimal stationing locations.
2Adaptability or versatility
If real-time popularity assessment is implemented, then supply-demand balance is improved, but data collection and processing requirements increase
Solution Approach 1:
The patent extracts only the essential data elements needed for popularity assessment - specifically user geographical positions during vehicle usage - and processes this extracted information through standardized calculations. By focusing on extracting and processing only the critical data components rather than analyzing all possible user data, the system achieves effective supply-demand matching while managing data processing requirements.
Solution Approach 2:
The system transforms raw geographical position data into meaningful popularity indices through parameter changes - converting coordinates into area-based popularity scores that reflect supply-demand relationships. This parameter transformation enables the system to adapt to varying demand patterns while processing data in a standardized, manageable format.
3Ease of operation
If visual charts with color mapping are generated, then stationing area identification becomes more intuitive, but computational processing increases
Solution Approach 1:
The patent applies color changes to represent different popularity levels in the visual chart, where colors intuitively indicate high-demand areas suitable for stationing. This color-coded visualization makes it easy for operators to identify optimal stationing locations at a glance. The computational processing is kept manageable by using standardized color mapping algorithms that transform popularity indices into color values efficiently.
Data Source
AI summary
The present specification provides a method for, including: collecting information about respective geographic positions of users using shared vehicles; determining, for each one of the respective geographic positions, popularity indexes of the shared vehicles in an area corresponding to the geographic position; determining, for each one of the respective geographic positions and based on the popularity indexes, a popularity score of the shared vehicles within the area corresponding to the geographic position; mapping the popularity scores to corresponding color values; and generating a presentation of the areas with visual attributes representing the popularity scores of the shared vehicles within the areas, wherein generating the visual presentation comprises rendering the presentation in accordance with the color values.