Driving Event Recorder Bandwidth Optimization via Exception Filtering
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Solution Overview
Problem
Vehicle event recorders inaccurately identify anomalous events due to errors in location-specific legal information, leading to unnecessary costs in data storage, transmission, and review.
Innovation Solution
A system that includes a processor to detect driving events, determine if they satisfy non-transmitting criteria by checking against an exception database, and decide not to transmit events that correspond to known errors or customer-specific exceptions, thereby reducing bandwidth usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If location-specific legal information is used to identify anomalous events, then event detection capability is improved, but false positive identification increases due to errors in the legal information
Solution Approach 1:
The system performs preliminary actions by maintaining an exception database that pre-identifies known errors in location-specific legal information. Before finalizing event identification, the system checks detected events against this database to determine if they should be excluded, thereby preventing false positives caused by known inaccuracies in the legal information.
Solution Approach 2:
The exception database serves as an intermediary between the location-specific legal information and the event identification process. It mediates by providing correction data that adjusts the interpretation of legal information, allowing the system to account for known errors without completely discarding the useful legal information.
2Loss of information
If all detected events are transmitted for review, then comprehensive monitoring is achieved, but bandwidth and storage costs increase due to transmission of false positive events
Solution Approach 1:
The system extracts and removes false positive events from the transmission stream by comparing detected events against the exception database. Only events that do not match known errors in the exception database are transmitted for review, thereby reducing unnecessary bandwidth usage and storage costs while maintaining completeness of valid events.
Solution Approach 2:
Instead of transmitting all detected events, the system applies partial action by selectively transmitting only those events that pass the exception filter. This reduces the volume of transmitted data while ensuring that all potentially valid events are still reviewed.
3Measurement precision
If location-specific legal information is continuously updated, then accuracy is improved, but system complexity and data management burden increase
Solution Approach 1:
The system segments legal information management into two separate components: the primary location-specific legal information database and the exception database for known errors. This segmentation allows independent updates of each component without affecting the other, reducing the complexity of managing comprehensive updates while maintaining accuracy.
Data Source
AI summary
A system for transmitting a driving event comprises an interface and a processor. The interface is configured to receive a portion of data. The processor is configured to detect a driving event based at least in part on the portion of data; determine whether the driving event satisfies a non-transmitting criteria; and in the event that the driving event satisfies the non-transmitting criteria, indicate that the driving event is not to be transmitted.