Vehicle Path Deviation Detection via Data Analytics
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Solution Overview
Problem
Current communication systems for vehicles, such as unmanned aerial vehicles, face challenges in accurately monitoring and reporting travel path deviations from authorized flight paths, leading to potential safety and efficiency issues due to inconsistencies between traffic management data and vehicle location data.
Innovation Solution
An apparatus and method that receive travel path data from a traffic management entity, compare it with location data transmitted by the vehicle's user equipment, and output a travel path deviation report when inconsistencies exceed a threshold, utilizing a network exposure function and data analytics within a mobile communication system to trigger configuration for location data transmission and check against authorized paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system monitors and compares travel path data with location data to detect deviations, then safety and operational efficiency are enhanced, but the system complexity and data processing requirements increase
Solution Approach 1:
The patent introduces a network exposure function as an intermediary component that mediates between the traffic management entity and the data analytics function. This intermediary receives travel path data from the traffic management entity, triggers location data transmission from user equipment, and coordinates the comparison process, thereby distributing system complexity across multiple specialized components rather than concentrating it in a single system
Solution Approach 2:
The monitoring system is segmented into distinct functional modules: a network exposure function for data collection and coordination, a data analytics function for comparison and deviation detection, and user equipment for location reporting. Each module performs a specific task, allowing the overall system to achieve high reliability through specialized components while managing complexity through functional decomposition
2Productivity
If the system continuously monitors and reports travel path deviations, then operational efficiency and tracking accuracy improve, but the quantity of data transmitted and processed increases
Solution Approach 1:
The system implements partial monitoring by comparing location data against travel path data only at critical checkpoints or when deviations exceed predetermined thresholds, rather than continuously analyzing every data point. This approach maintains operational efficiency by focusing computational resources on significant deviations while reducing the overall quantity of data that requires intensive processing
Solution Approach 2:
The system employs feedback mechanisms where the data analytics function sends deviation reports back to the network exposure function, which then notifies the traffic management entity. This feedback loop enables efficient operational response to deviations while reducing data transmission volume by reporting only when deviations occur, rather than continuously transmitting all location data
Data Source
AI summary
A technique comprising: receiving, at a data analytics function of a core network of a mobile communication system, travel path data from a traffic management entity, wherein the travel path data indicates a travel path for a vehicle comprising a user equipment registered to the mobile communication system; receiving, at the data analytics function, location data for the vehicle transmitted by the user equipment; and in response to detecting an inconsistency between the travel path data for the vehicle and the location data for the vehicle transmitted by the user equipment, outputting a travel path deviation report for the traffic management entity.