Independent Vehicle Safety Assessment Aggregating Multi-Source Data
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Solution Overview
Problem
Modern vehicles, especially autonomous and semi-autonomous ones, pose challenges in assessing safety and comfort systems due to their complexity, with onboard systems lacking comprehensive evaluation of both internal and external data sources, leading to consumer distrust and maintenance difficulties.
Innovation Solution
A computer-implemented method and apparatus that aggregate operational data from multiple sources to determine the normal or abnormal operational status of vehicle systems, providing an independent assessment of safety and comfort conditions, presented to users through a user interface, independent of onboard or manufacturer assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If onboard vehicle self-assessment systems are used to evaluate safety and comfort conditions, then the assessment can be performed using vehicle-internal data only, but the completeness and consumer trust in the assessment is reduced due to lack of external data sources
Solution Approach 1:
The patent introduces an intermediary assessment system that acts as a mediator between multiple data sources (onboard systems, external databases, maintenance providers) and the consumer. This intermediary aggregates and evaluates data from diverse sources, providing a comprehensive safety assessment that consumers can trust while managing the complexity of multi-source data integration centrally.
Solution Approach 2:
The patent combines multiple previously separate data sources (onboard vehicle sensors, external maintenance databases, regulatory safety records, accident records) into a unified assessment system. By merging these data streams and evaluating them together, the system achieves comprehensive safety assessment that enhances consumer trust while the integration is managed through a centralized platform.
2Loss of information
If multiple external data sources are integrated to provide comprehensive safety assessment, then the completeness and trustworthiness of assessment improves, but the system complexity and difficulty of implementation increases
Solution Approach 1:
The patent creates a universal assessment platform that can handle multiple types of data sources (sensor data, maintenance records, regulatory information, accident data) through a single integrated system. This multi-functional platform reduces implementation difficulty by providing a standardized approach to integrating diverse data types while ensuring complete safety assessment.
Solution Approach 2:
The intermediary system serves as a central hub that manages the complexity of integrating multiple external data sources. It standardizes data ingestion, processing, and evaluation across different sources, thereby reducing implementation difficulty while maintaining complete and comprehensive safety information.
3Ease of operation
If independent external assessment is provided to users before vehicle use, then consumer confidence and informed decision-making improves, but the time and resources required for assessment increases
Solution Approach 1:
The patent performs safety assessments in advance, before consumers need to make vehicle usage decisions. By pre-aggregating data from multiple sources and generating safety evaluations beforehand, the system provides consumers with ready-to-use information that enables informed decision-making without requiring them to invest time in the assessment process themselves.
Solution Approach 2:
The assessment system operates autonomously, automatically gathering data from multiple sources, processing it through evaluation criteria, and generating safety assessments without requiring consumer intervention. This self-service approach provides comprehensive safety information to consumers quickly, enhancing their ability to make informed decisions while minimizing the time they need to invest.
Data Source
AI summary
An approach is provided for assessing safety conditions of a vehicle. The approach, for example, involves aggregating operational data associated with a vehicle from a plurality of data sources. The approach also involves processing the operational data against operational criteria to determine a normal operational status or an abnormal operational status of the vehicle. The approach further involves generating an independent assessment of a safety condition of the vehicle based on the normal operational status or the abnormal operational status. The independent assessment is performed independently of an assessment system of the vehicle, a manufacturer of the vehicle, or a combination thereof. The approach further involves in response to a request by a user to use the vehicle, providing data indicating the safety condition in a user interface of a device associated with the user.