Mobile Device Route Metric Determination Using Segmented Data Processing
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Solution Overview
Problem
Conventional methods for determining route metrics from mobile device data are limited in their ability to effectively process and utilize route records for navigation and location-based services, particularly in real-time and for diverse applications such as lap times and custom route determination.
Innovation Solution
A method and system for a mobile device that determines route metrics by obtaining and processing real-time sample sets of time and location data, allowing for the calculation of metrics like lap times and split times, and enabling the definition of custom routes based on specified parameters, using a reference stimulus to initiate data collection and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional methods are used to determine route metrics from mobile device data, then the system is simpler to implement, but the ability to effectively process and utilize route records for navigation and location-based services is limited
Solution Approach 1:
The patent segments the route record processing into distinct components: obtaining route records with multiple data types (location, time, orientation, acceleration), separating different metric determination methods (lap times, split times, pace), and dividing data processing into real-time and historical analysis. This segmentation enables the system to handle diverse navigation applications effectively while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The patent creates a universal route metric determination system that can handle multiple navigation scenarios through a single platform. The system determines various metrics including lap times, split times, pace, and custom route metrics using the same underlying infrastructure of obtaining and processing route records. This multi-functionality approach allows the system to serve diverse navigation and location-based services without requiring separate specialized systems for each application.
2Productivity
If real-time data processing is implemented for diverse navigation applications, then the versatility of the system improves, but the processing complexity and computational requirements increase
Solution Approach 1:
The patent applies preliminary action by obtaining and storing complete route records with all relevant data (location, time, orientation, acceleration) during the navigation activity itself. This preliminary data collection and organization enables efficient real-time processing later, as the raw data is already captured and structured. The system also performs preliminary calculations for basic metrics during data collection, reducing the computational burden during real-time analysis.
Solution Approach 2:
The patent implements partial processing by determining only the specific route metrics needed for each navigation application rather than calculating all possible metrics continuously. The system processes data at appropriate levels of detail based on the specific application requirements, avoiding unnecessary computational overhead while maintaining real-time responsiveness for critical navigation functions.
3Measurement precision
If historical route records are processed to determine metrics, then the accuracy of route metric determination improves, but the time required for data processing increases
Solution Approach 1:
The patent applies preliminary action by organizing and storing historical route records with all relevant data properly structured during the initial data collection phase. This preliminary organization enables rapid retrieval and processing of historical data when needed, as the records are already formatted and indexed for efficient access. The system prepares reference data in advance to facilitate quick comparisons with current route data.
Solution Approach 2:
The patent implements selective processing by skipping unnecessary historical data review and focusing only on the specific metrics and time periods relevant to the current navigation application. The system efficiently identifies and processes only the pertinent historical records needed for accurate metric determination, rather than analyzing all available historical data, thus reducing processing time while maintaining accuracy.
Data Source
AI summary
The disclosure is directed to a method, computer program product, mobile device or a system allowing for determining various route metrics based on stored route records associated with routes traversed by the mobile device. The determination of a route metric may utilize processing of a single route record or multiple route records. Exemplary route metrics include route timing metrics such as lap times, or route record metrics. Configurations of computer program products, mobile devices and systems for enabling the determination of various route metrics are also described.