Route Correlation for Mobile Device Implicit Relationship Identification
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Solution Overview
Problem
Current systems lack the ability to effectively identify implicit relationships between mobile devices following dynamic, but similar paths or routes, especially in scenarios where explicit relationships are absent, such as between a train and its passengers or a pursued suspect and a trailing officer.
Innovation Solution
A network system and method that correlates routes of mobile devices by receiving and processing parameters like location, heading, and speed over time, identifying subsets of devices with high correlation to a reference route, and associating entities with their matching routes, even across different wireless networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If route correlation systems process location data from multiple mobile devices, then the ability to identify implicit relationships improves, but the system complexity and data processing requirements increase
Solution Approach 1:
The system segments the route correlation process into distinct modules: data collection from mobile devices, route parameter extraction, correlation analysis, and relationship identification. This segmentation allows complex data processing to be divided into manageable stages, improving reliability while controlling system complexity through modular architecture.
Solution Approach 2:
The patent introduces an intermediary correlation analysis system that mediates between raw location data from mobile devices and the identification of implicit relationships. This intermediary layer processes and correlates route parameters without requiring direct complex interactions between all devices, thereby reducing overall system complexity while maintaining relationship identification accuracy.
2Speed
If the system correlates routes in real-time, then the speed of relationship identification improves, but the computational resources and processing time increase
Solution Approach 1:
The system performs preliminary actions by pre-processing location data to extract route parameters (such as trajectory, speed, direction) before correlation analysis. This preliminary extraction and normalization of route characteristics enables faster real-time correlation comparisons, improving identification speed while reducing the computational burden during the actual relationship detection process.
3Measurement precision
If the system processes location data from multiple wireless networks, then the coverage and accuracy of route tracking improves, but the data management complexity increases
Solution Approach 1:
The patent implements a universal data processing framework that handles location data from multiple wireless networks using standardized correlation algorithms. This multi-functional approach allows the same correlation mechanism to process data from different networks uniformly, improving tracking accuracy across diverse networks while avoiding the need for separate complex data management systems for each network type.
Data Source
AI summary
A route correlation method, an identification method, and a route correlation system determine an implicit relationship between two entities, i.e. two users with mobile devices, following dynamic, but similar paths or routes, but which otherwise lack an explicit relationship. Through this implicit relationship, the identity of one entity can be known to another. The route correlation method includes determining a route for a first mobile device, determining a route for each of a plurality of mobile devices, correlating the route for each of the plurality of mobile devices with the route for the first mobile device, identifying each of the plurality of mobile devices with their associated routes matching the route of the first mobile device, and associating each mobile device with an entity.