Mobile State Determination Using GNSS and Power Data
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Solution Overview
Problem
Conventional methods for determining the mode of travel of location-aware devices, such as GNSS devices, are inaccurate as they either require user input or make assumptions, leading to errors in providing navigation and route guidance.
Innovation Solution
Collecting and analyzing data from GNSS devices, including power source, speed, location, and navigational route, to automatically determine the mode of travel by establishing speed thresholds and comparing routes with map data, thereby accurately identifying walking, biking, or driving modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods are used to determine mode of travel by asking user input or making assumptions, then the system is simple to operate, but the accuracy of mode determination deteriorates
Solution Approach 1:
The patent combines multiple data sources (power source status, speed data, route information) into a unified mode determination system. By merging these different types of data and analyzing them together, the system achieves accurate mode detection without requiring user input, resolving the contradiction between simplicity and accuracy.
Solution Approach 2:
The system automatically determines mode of travel by analyzing data from the device itself (power source, speed, route) without requiring external user input. This self-service approach maintains operational simplicity while improving determination accuracy through automated multi-parameter analysis.
2Measurement precision
If multiple data parameters are collected and analyzed to determine mode of travel, then the determination accuracy improves, but the processing complexity increases
Solution Approach 1:
The patent segments the mode determination process into distinct analytical components: power source analysis, speed threshold comparison, and route pattern matching. By dividing the complex analysis into separate manageable segments, the system can accurately process multiple parameters without overwhelming complexity.
Solution Approach 2:
The system transforms multiple raw parameters (power status, speed values, route coordinates) into meaningful indicators by applying specific transformations: converting power source data into connection status, comparing speed against predefined thresholds, and matching route segments against known patterns. This parameter transformation simplifies the analysis while maintaining high accuracy.
Data Source
AI summary
Systems and methods are provided for determining the mode of travel of a location aware device. Data from the location aware device is received, which includes location aware data about the speed, location, and navigational route of the location aware device and data about the connection of the location aware device to a power source. These features of data from the location aware device are used to determine the mode of travel of the location aware device. The data from the location aware device can also be used to determine preferred routes of navigation, speed of roads, and traffic on roads.