Vehicle Configuration Conflict Detection for Regulatory Compliance
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Solution Overview
Problem
Existing tools lack the capability to fine-tune vehicle configuration options for regulatory compliance, requiring users to rely on their own knowledge and judgment, which can lead to conflicts resulting in increased costs or decreased fuel efficiency.
Innovation Solution
A computer-implemented method that receives vehicle configuration information, determines conflicts between user-adjustable and regulated parameters, and provides feedback to users, suggesting settings to improve regulatory compliance and reduce conflicts, including cost-reducing options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users select vehicle configuration options based on their own knowledge and judgment, then user autonomy and ease of operation are improved, but regulatory compliance and fuel efficiency may deteriorate due to conflicts between user choices and regulated parameters
Solution Approach 1:
The system automatically detects conflicts between user-selected configuration options and regulated vehicle parameters, then provides feedback to users about these conflicts. This feedback mechanism guides users to make compliant selections without removing their autonomy to configure the vehicle, thereby maintaining ease of operation while ensuring regulatory compliance.
Solution Approach 2:
The system acts as an intermediary between the user's configuration choices and the regulatory requirements. It processes user selections, checks them against regulated parameters, and mediates by suggesting alternative configurations that comply with regulations, thus resolving the conflict between user autonomy and compliance requirements.
2Ease of operation
If users select configuration options without regulatory guidance, then ease of operation is improved, but cost and fuel efficiency may worsen due to suboptimal configuration choices
Solution Approach 1:
The system provides feedback to users about how their configuration selections impact fuel efficiency and operating costs. By presenting this information, users can make informed decisions that balance their operational preferences with energy efficiency considerations, thereby improving overall fuel efficiency without complicating the configuration process.
Solution Approach 2:
The system performs preliminary analysis of configuration options to identify those that optimize fuel efficiency before presenting them to users. By pre-processing and evaluating configuration combinations, the system can guide users toward energy-efficient selections without requiring users to perform complex analysis themselves, maintaining ease of operation while improving fuel efficiency outcomes.
3Reliability
If the system provides detailed conflict detection and guidance, then regulatory compliance is improved, but device complexity and information processing requirements worsen
Solution Approach 1:
The system segments the vehicle configuration process into distinct stages: user selection, conflict detection, and guidance provision. By dividing the complex task of ensuring regulatory compliance into separate modular functions, the system can process configuration data more efficiently while maintaining high compliance standards, thereby reducing overall system complexity.
Solution Approach 2:
The system performs self-service by automatically detecting conflicts and generating guidance without requiring external intervention. This automation reduces the need for complex manual processing and oversight mechanisms, improving regulatory compliance while keeping system complexity manageable through autonomous operation.
Data Source
AI summary
A computing device (e.g., a server computer hosted by a vehicle manufacturer or retailer) receives vehicle configuration information obtained via a user interface of a user device. The vehicle configuration information includes one or more user-adjustable settings. The computing device determines whether a conflict exists between the user-adjustable settings and a regulated vehicle parameter (e.g., a vehicle speed limit), which may be associated with greenhouse gas emissions of the vehicle. The computing device transmits feedback information to the user device. The feedback information may include a description of one or more conflicts between the user-adjustable settings and the regulated vehicle parameter, recommended adjustments to the settings, or the like. The recommended adjustments to the settings may, if accepted by a user, improve regulatory compliance for the vehicle, and may remove or reduce the degree of conflicts between the user-adjustable setting and the regulated vehicle parameter.