Location Data Aggregation via Area Superposition
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Solution Overview
Problem
Existing methods for assessing location-related data, such as safety and mobility information, are inadequate as they rely on single data sources, leading to incomplete situational awareness and impractical manual evaluation due to increased complexity with multiple data sources.
Innovation Solution
A method that aggregates data from multiple sources by defining areas around relevant locations, determining values for these areas, and superimposing non-overlapping areas to provide an overall value distribution reflecting the situation, allowing for a comprehensive and efficient evaluation of safety and mobility aspects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data from multiple data sources are used to provide comprehensive situational assessment, then the completeness and quality of information is improved, but the evaluation complexity increases significantly making manual evaluation impractical
Solution Approach 1:
The patent segments the complex evaluation task by defining discrete areas around relevant locations (crime scenes, accidents, etc.) and assigning values to these areas. Multiple data sources are processed separately to create individual value distributions, which are then combined through superposition. This segmentation transforms an intractable holistic evaluation into manageable discrete units that can be systematically processed and combined.
Solution Approach 2:
The patent introduces an intermediary computational framework that automatically processes and integrates data from multiple sources. The system uses area definitions and value assignments as intermediate representations, which serve as mediators between raw data from various sources and the final situational assessment. This intermediary layer automates the complex integration process, making it impractical to perform manually but enabling comprehensive multi-source analysis.
2Reliability
If multiple data sources are integrated to provide comprehensive safety and mobility information, then the overall situation assessment quality is improved, but the processing and analysis become rapidly impractical
Solution Approach 1:
The patent transforms location-related data from multiple sources into a standardized parameter format (coordinates, area definitions, value assignments). By converting diverse data types into uniform parameters that can be represented as areas with assigned values, the system enables efficient computational processing. This parameter standardization allows automatic superposition and integration of multiple data sources while maintaining high processing speed and productivity.
3Quantity of substance
If punctiform relevant locations are used to represent safety information, then data storage is simplified, but clear overview and efficient automatic evaluation are compromised
Solution Approach 1:
The patent transitions from representing safety information as zero-dimensional punctiform locations to two-dimensional areas with assigned values. By defining areas around relevant locations and assigning quantitative values to these areas, the system creates a richer representation that preserves storage efficiency while dramatically improving overview clarity. The area-based representation with value dimensions enables efficient automatic evaluation through systematic superposition and comparison, solving the limitation of point-based data.
Data Source
AI summary
For a more efficient utilization of data that are relevant to safety and/or mobility, data are read from a plurality of data sources. The data of each data source sets of coordinates of real locations relevant for a respective aspect can be determined. Based on a respective set of coordinates for each of the real locations a respective area is then defined for each of the data sources, and a value assigned to the area is determined. Overlapping areas defined for a respective data source are aggregated so as to obtain non-overlapping areas with at least one assigned value for each of the data sources. The non-overlapping areas are superposed with the assigned values. The result is a value distribution, which reflects an overall situation with regard to the at least two aspects in a real region. An apparatus, a system, a program and a storage medium are configured accordingly.