Vehicle Event Data Aggregation for Corroborated Claim Verification
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Solution Overview
Problem
Existing systems fail to effectively leverage sensing data from various devices in automotive vehicles for global operations or external event responses, relying on unverifiable operator claims instead of corroborated data for event verification and management.
Innovation Solution
An event-based data aggregation system that receives notifications from sensing devices, determines relevant devices based on location and event type, and polls them for data to aggregate and verify event information, facilitating claim evaluation and resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If sensing devices are used for local sensing operations only, then device complexity is reduced, but loss of information occurs as sensing data cannot be leveraged for global operations or event verification
Solution Approach 1:
The system segments sensing devices into event-sensing devices that detect specific events and additional sensing devices that provide supplementary data. This segmentation allows each device type to be optimized for its specific function while collectively providing comprehensive event verification capability, resolving the contradiction between information utilization and system complexity
Solution Approach 2:
The event-based data aggregation service creates a universal platform that can handle multiple types of sensing devices and event types through a standardized interface. The system universally polls both event-sensing devices and additional sensing devices using the same event notification mechanism, enabling sensing data to be leveraged across both local and global operations without increasing individual device complexity
2Reliability
If operator claims are used for event verification, then ease of operation is improved, but reliability deteriorates due to unverifiable claims
Solution Approach 1:
The system implements feedback by having additional sensing devices provide corroborating data in response to event notifications. This feedback loop verifies operator claims through independent sensing data, significantly improving event verification accuracy while maintaining ease of operation as the process remains automated
Solution Approach 2:
Additional sensing devices continuously monitor and record data before events occur, preparing corroborating evidence in advance. When an event is reported, this pre-captured data is immediately available for verification, ensuring high reliability without adding operational complexity to the claim submission process
3Measurement precision
If all sensing devices are polled continuously for data, then measurement precision is improved, but use of energy increases
Solution Approach 1:
Instead of continuous polling, the system uses periodic action by only polling additional sensing devices when an event notification is received. The event-based trigger initiates selective polling of relevant devices, maintaining high measurement precision for event verification while dramatically reducing energy consumption compared to continuous monitoring
Solution Approach 2:
The system applies partial action by selectively polling only the event-sensing device and relevant additional sensing devices based on location parameters, rather than polling all sensing devices continuously. This targeted approach achieves sufficient measurement precision for event verification while minimizing energy usage
Data Source
AI summary
The present disclosure relates generally to aggregation of data associated with events related to automotive vehicles. Automotive vehicles may include a variety of sensing devices used in local sensing operations. However, these sensing devices may not be leveraged beyond the local sensing operations. When automotive vehicles are operated, sometimes events occur. As discussed herein, an event-based data aggregation service may aggregate sensing data from one or more sensing devices, such as sensing devices of the automotive vehicles, in response to receiving an event notification associated with one or more of the events and may use the sensing data when responding to the event notification.