Moving Target Navigation System for Dynamic Route Prediction
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Solution Overview
Problem
Current navigation systems are unable to effectively guide users to intersect with moving targets, as they rely on fixed addresses and do not account for the dynamic movement and future locations of entities, leading to inefficient routing and potential delays.
Innovation Solution
A computer system that uses a moving target navigation system to detect and predict the future locations of moving targets through a network environment, allowing users to receive optimized courses to intersect with them by integrating location detection systems, context records, and cognitive computing services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If navigation systems use fixed addresses for routing, then the system complexity remains low, but the system cannot effectively guide users to moving targets
Solution Approach 1:
The patent applies dynamics by transforming the static navigation target (fixed address) into a dynamic target (moving entity with changing location). The system continuously updates the target location based on the moving target's current position, direction of movement, and predicted future locations, allowing the navigation system to adapt to the target's motion while maintaining manageable complexity through automated calculations.
Solution Approach 2:
The system performs preliminary action by predicting future locations of the moving target before the user actually navigates to them. By calculating potential future positions based on current movement patterns and context records, the system prepares multiple candidate intersection points in advance, enabling the user to efficiently intercept the moving target without real-time continuous tracking complexity.
2Measurement precision
If navigation systems continuously track moving targets to provide accurate routing, then navigation accuracy improves, but energy consumption increases
Solution Approach 1:
The system implements periodic action by updating the moving target's location information at specific intervals rather than continuously. The navigation device receives periodic location updates from the moving target and recalculates the optimized course accordingly, maintaining navigation accuracy while reducing the energy consumption associated with constant real-time tracking and communication.
Solution Approach 2:
The system uses preliminary action by predicting future locations of the moving target based on current movement patterns and context records. This allows the navigation system to determine an optimized course to a predicted future location rather than continuously adjusting to the target's current position, reducing the frequency of calculations and energy consumption while maintaining the ability to accurately intercept the moving target.
3Productivity
If navigation systems calculate optimized courses to predicted future locations, then navigation efficiency improves, but the complexity of prediction algorithms increases
Solution Approach 1:
The system applies parameter changes by utilizing context records that contain pre-existing information about the moving target's behavior patterns, preferences, and historical movement data. By changing the input parameters from simple current position to enriched context records, the prediction algorithm can generate more accurate future location predictions without requiring excessively complex computational models, thus improving navigation efficiency while managing algorithm complexity.
Data Source
AI summary
A moving target service receives path of locations of a moving target monitored by a navigation device. The moving target service calculates at least one optimized course for at least one user to follow to intersect with the moving target at one or more future locations predicted based on the path of the locations and based on at least one context record. The moving target service outputs the at least one optimized course to a display interface accessible to the at least one user for directing the user to navigate from a starting point to at least one of the one or more future locations.