Automotive Data Regulation Aggregation System
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Solution Overview
Problem
The challenge lies in efficiently aggregating and managing diverse automotive data regulations across multiple jurisdictions, which are often complex and changing, posing difficulties in ensuring compliance with varying privacy laws and regulations applicable to connected vehicles.
Innovation Solution
A system and method for aggregating automotive data regulations from multiple sources, utilizing a computer processor with a regulations collection module to unify and select appropriate aggregation types based on use cases, enabling tailored regulation application for data consumers, including conflict resolution mechanisms and dynamic updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple sets of automotive data regulations from different jurisdictions are collected and applied, then compliance coverage is improved, but system complexity increases
Solution Approach 1:
The patent segments the complex regulation management system into distinct functional modules: a collection module that gathers regulations from multiple jurisdictions, a unification module that organizes them into coherent sets, and an aggregation module that applies them to data consumers. This modular segmentation allows each component to handle specific aspects of regulation management independently, reducing overall system complexity while maintaining comprehensive compliance coverage.
Solution Approach 2:
The patent introduces intermediary components including a regulations collection module that acts as a mediator between multiple jurisdictional sources and the aggregation system, and a unification module that mediates between diverse regulation formats and the standardized aggregation structure. These intermediaries simplify the interface between heterogeneous regulation sources and the compliance application layer.
2Measurement precision
If regulations are constantly screened and re-evaluated for applicability, then compliance accuracy is improved, but evaluation costs increase
Solution Approach 1:
The patent implements preliminary action by pre-collecting and pre-unifying regulations into organized sets before they are needed for compliance evaluation. The system proactively gathers regulations from multiple jurisdictions, standardizes their formats, and structures them in advance, so that when data consumers require compliance screening, the regulations are already prepared and readily applicable, reducing real-time evaluation costs.
Solution Approach 2:
The patent introduces dynamic aggregation types that can adapt to different use cases and data consumer requirements. The system dynamically selects appropriate aggregation strategies based on the specific compliance scenario, adjusting the level of screening and evaluation intensity to match the actual needs, thereby optimizing the balance between compliance accuracy and evaluation costs.
3Adaptability or versatility
If regulations are ordered and organized for proper application, then applicability is improved, but processing time increases
Solution Approach 1:
The patent segments the regulation organization process into distinct phases: collection from multiple sources, unification into standardized sets, and aggregation tailored to specific use cases. This segmentation allows the system to prepare regulation sets in advance organized by jurisdiction and topic, making them readily applicable when needed without requiring time-consuming processing during compliance evaluation.
Solution Approach 2:
The system performs preliminary organization and categorization of regulations by jurisdiction, topic, and applicability criteria before they are needed for specific compliance assessments. This advance preparation ensures that when data consumers require regulation application, the organized regulation sets are already available, significantly reducing processing time while maintaining high adaptability to different compliance scenarios.
4Adaptability or versatility
If aggregated regulations are tailored per use case for data consumers, then compliance relevance is improved, but aggregation complexity increases
Solution Approach 1:
The patent applies local quality by tailoring the aggregation of regulations to specific local contexts and use cases. The system identifies different data consumer types and their specific compliance needs, then aggregates regulations with locally optimized characteristics appropriate for each use case. This allows the same base regulation set to be adaptively aggregated into different configurations suited for specific jurisdictions, industries, or compliance scenarios without requiring completely separate aggregation systems.
Data Source
AI summary
A method and system for generating aggregation from a plurality of sets of regulations are disclosed herein. The method may include the following steps: collecting a plurality of set of regulations, wherein a number of regulations in each set of regulations is significantly higher than a set of objects to which the regulations apply; generating a regulations and restriction in a form of a network of the collected sets of regulations; and applying a user defined inference algorithm to derive an applied aggregation responsive to a user-defined use case.