Route Compliance Monitoring via GeoJSON Trip Segmentation
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Solution Overview
Problem
Fleet operators face challenges in tracking and monitoring the compliance of routes taken by moving devices, such as vehicles, with existing IoT/M2M solutions often unable to accurately distinguish between job-related and non-job-related routes, especially in scenarios where vehicles lack continuous cellular connectivity.
Innovation Solution
A computer-implemented method and system that determines parameters for a typical trip based on job descriptions, defines compliance parameters, and compares actual trip parameters to these definitions using a server with a storage database and analytical engine, allowing for real-time monitoring of route compliance through GeoJSON encoding and geo-fencing techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing IoT/M2M solutions are used to track vehicles, then basic location tracking is achieved, but accurate distinction between job-related and non-job-related routes cannot be made
Solution Approach 1:
The system segments the monitoring function by separating route parameter collection (performed by the moving device itself) from route compliance analysis (performed by the server). This segmentation allows precise compliance detection without requiring complex monitoring equipment on each vehicle, as the division of functions reduces overall system complexity while maintaining high measurement precision.
Solution Approach 2:
The system performs preliminary action by having the moving device determine and store its own route parameters (including GeoJSON-encoded location data) before compliance analysis. This preliminary data preparation enables the server to efficiently evaluate compliance without real-time complexity, achieving accurate distinction between job-related and non-job-related routes through pre-computed route characteristics.
2Productivity
If manual logging of routes is performed, then route compliance can be monitored, but operational efficiency is reduced
Solution Approach 1:
The moving device performs self-service by automatically determining its own route parameters, including location data encoded in GeoJSON format and stored locally. This self-service capability eliminates the need for manual logging while preserving complete route information, thereby improving operational efficiency without sacrificing data accuracy. The device autonomously captures and maintains its route data throughout the journey.
Solution Approach 2:
The system replaces the mechanical process of manual logging with automated electronic data capture and storage. The moving device automatically records location parameters and encodes them using GeoJSON, substituting human-operated manual logging systems with automated computational processes that improve both productivity and data accuracy simultaneously.
3Reliability
If continuous monitoring is implemented, then real-time compliance detection is achieved, but data loss occurs in areas with limited connectivity
Solution Approach 1:
The system applies beforehand cushioning by having the moving device store complete route parameters locally in its memory before connectivity issues occur. This pre-stored data acts as a buffer that protects against information loss during periods of limited connectivity. When the device later connects to the network, the previously stored complete route data can be transmitted, ensuring reliability and data completeness are maintained despite intermittent connectivity.
Solution Approach 2:
The moving device performs self-service by autonomously determining, storing, and managing its own route data without requiring continuous network connectivity. This self-sufficient approach ensures that route compliance information is preserved locally even in areas with limited connectivity, maintaining both reliability and data completeness through the device's independent data management capabilities.
Data Source
AI summary
A computer-implemented method and system for monitoring route compliance of moving devices are disclosed. The method for monitoring route compliance of moving devices includes determining parameters for a typical trip based on job description; defining compliance parameters for route compliance based on the determined parameters for the typical trip; comparing parameters of the trip for which compliance is to be determined to the defined compliance parameters; and determining if the trip for which compliance is to be determined falls within the defined compliance parameters.


