Animated Geospatial Telematics GUI for Mobile Trip Risk Visualization
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Solution Overview
Problem
Vehicular telematics systems generate large volumes of data that are difficult to interpret, especially on mobile devices with limited resources, making it challenging for users to understand driving patterns, identify risks, and visualize trip data effectively.
Innovation Solution
The development of interactive animated guided user interfaces (GUIs) that compress and render telematics data as geospatial graphics on a map, allowing users to scrub through playback and visualize multiple trips, including geographic heat maps, to simplify data exploration and risk identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high volume and high fidelity telematics data is collected, then data completeness and accuracy are improved, but data size and complexity increase making it difficult to interpret on mobile devices
Solution Approach 1:
The patent segments the large volume of telematics data into meaningful trip-based units and further into visual components (geospatial graphics, timelines, heat maps). This segmentation transforms raw data points into organized, interpretable visual elements that can be displayed on mobile devices without overwhelming the user or device resources.
Solution Approach 2:
The patent creates visual copies and representations of the raw telematics data through geospatial graphics and animated GUIs. Instead of displaying raw numerical data, the system generates visual copies (map overlays, route visualizations, heat maps) that convey the same information in an easily interpretable format suitable for mobile devices.
2Quantity of substance
If large numbers of telematics records are generated, then data coverage is improved, but file size increases making transfer and viewing impractical
Solution Approach 1:
The patent extracts only the essential information needed for visualization from the large set of telematics records. By selecting key data points (geographic positions, time values, trip identifiers) and excluding redundant details, the system reduces data size while maintaining the ability to generate accurate visual representations.
Solution Approach 2:
The patent transforms the data from raw numerical records into visual parameters suitable for display. By converting telematics data into geospatial coordinates, time stamps, and visual intensity values for heat maps, the system changes the parameter representation to optimize for visual display rather than raw data storage.
3Loss of information
If raw telematics data is displayed, then data detail is improved, but user understanding of driving patterns and risks deteriorates
Solution Approach 1:
The patent adds visual dimensions to the telematics data by displaying it on geospatial maps with animated overlays. Instead of presenting data in traditional tabular or textual formats, the system projects telematics records onto a geographic dimension, allowing users to intuitively understand driving patterns, routes, and risk areas through spatial visualization.
Solution Approach 2:
The patent uses color variations in heat maps and graphical overlays to encode different levels of risk, trip frequency, or driving behavior intensity. By mapping data values to color intensities and hues, the system enables users to quickly comprehend complex patterns and risks without needing to interpret raw numerical data.
4Use of energy by moving object
If telematics data is compressed for mobile display, then device resource usage is improved, but data visualization quality may deteriorate
Solution Approach 1:
The patent applies partial action by selecting and displaying only the most relevant telematics data points needed for effective visualization. Instead of processing and displaying all raw data, the system identifies key positions, times, and trip segments that provide the most valuable visual information, reducing computational load while maintaining visualization quality.
Data Source
AI summary
Telematics systems and methods are described for generating interactive animated guided user interfaces (GUIs). A telematics cloud platform is configured to receive vehicular telematics data from a telematics device onboard a vehicle. A GUI value compression component determines, based on the vehicular telematics data, a plurality of GUI position values and a plurality of corresponding GUI time values. A geospatial animation app receives the plurality of GUI position values and the plurality of corresponding GUI time values. The geospatial animation app implements an interactive animated GUI that renders a plurality of geospatial graphics or graphical routes on a geographic area map via a display device. The geospatial graphics or graphical routes are rendered to have different visual forms based on differences between respective GUI position values and corresponding GUI time values.