Automated Geofence Creation Using Vehicle Movement Data
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Solution Overview
Problem
Manual creation of geofences is labor-intensive and prone to errors, especially when multiple geofences need to be created, as it requires manual identification and definition of geographic boundaries on maps, which can vary based on the map used.
Innovation Solution
A method that automatically generates geofences using movement data from moving objects, such as vehicles equipped with GPS, to define accurate and precise geofence boundaries, allowing for high tolerance of imprecise starting positions and enabling efficient creation of multiple geofences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If geofences are created manually by drawing boundaries on maps, then the geofence boundaries can be precisely defined, but the process becomes very time-consuming and expensive
Solution Approach 1:
The patent replaces the manual mechanical process of drawing geofence boundaries on maps with an automated computer-based system. The system uses probe data from moving objects to automatically calculate and define geofence boundaries, eliminating the need for manual map drawing while maintaining precision through algorithmic boundary determination based on actual movement patterns.
2Reliability
If manual geofence creation is used, then each geofence can be carefully defined, but the workload increases significantly when many geofences need to be created
Solution Approach 1:
The system enables self-service geofence creation by automatically processing probe data from moving objects to generate geofence definitions without human intervention. The computer system autonomously identifies boundaries, calculates areas, and creates geofence records based on aggregated movement data, allowing rapid creation of multiple geofences while maintaining consistent accuracy standards.
3Ease of manufacture
If geofences are created based on map visual identification, then boundaries can be defined, but errors occur when starting positions are incomplete or incorrect
Solution Approach 1:
The system incorporates feedback mechanisms by continuously collecting probe data from moving objects and using this information to verify and adjust geofence boundaries. The aggregated movement data provides feedback on actual usage patterns, allowing the system to identify and correct positioning errors automatically, ensuring high accuracy even when initial starting positions are imprecise.
4Adaptability or versatility
If different maps are used for geofence creation, then various perspectives can be considered, but the resulting geofences vary and lack consistency
Solution Approach 1:
The patent changes the fundamental parameter for geofence definition from map-based visual boundaries to probe data-based movement patterns. By using actual positional data from moving objects as the defining parameter, the system ensures consistent geofence boundaries regardless of which map is used, as the boundaries are derived from objective movement data rather than subjective map interpretations.
Data Source
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AI summary
The method involves detecting (S100) an output position. The home position is transmitted (S300) on a digital map. A surface object is automatically created (S400) on the digital map. The canvas object is provided with the starting position. The motion data of moving object is detected (S500) in the field of surface object, and automatic reduction of the object to the geofence area is enabled based on the motion data. Independent claims are included for the following: (1) a digital storage medium storing program for automatically creating a geofence; and (2) a computer program product for automatically creating a geofence.