V2X Event Correlation for Composite Driving Decision Alerts
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Solution Overview
Problem
The increasing amount of information obtained through Vehicle-to-Everything (V2X) communication systems is not effectively processed, leading to disconnection from the driver's decision-making process due to lack of correlation and priority in information processing and display methods.
Innovation Solution
A method and apparatus that merge driving decision-making homogeneous events into composite events, utilizing a rule engine to identify and process event correlations, and display them in a manner that supports driver decision-making, enhancing information reception efficiency and resolving event conflicts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If more information is obtained through V2X communication, then the comprehensiveness of traffic information is improved, but the processing complexity and decision-making burden increase
Solution Approach 1:
The patent segments the complex information processing task into multiple hierarchical levels: event detection, event correlation, composite event generation, and decision-making. This segmentation allows the system to handle comprehensive V2X information by breaking it down into manageable components at each processing stage, reducing overall system complexity while maintaining information completeness
Solution Approach 2:
The patent introduces an event correlation module as an intermediary between raw V2X information and decision-making systems. This intermediary component processes and correlates multiple events, generating composite events that bridge the gap between comprehensive information acquisition and simplified decision-making, thereby reducing processing complexity while preserving information value
2Device complexity
If multiple events are processed separately, then the processing logic is simple, but the decision-making efficiency decreases due to lack of event correlation
Solution Approach 1:
The patent merges multiple related events into composite events through an event correlation mechanism. By combining individual events that share common characteristics or relationships into unified composite events, the system improves decision-making efficiency without requiring overly complex processing logic, as the merging operation follows standardized correlation rules
3Loss of information
If all events are displayed to the driver, then the information completeness is improved, but the driver's cognitive burden increases
Solution Approach 1:
The patent combines multiple individual events into composite events for display purposes. This merging approach maintains information completeness by preserving all relevant event data within the composite structure, while simultaneously reducing cognitive burden by presenting unified, organized composite events rather than scattered individual events to the driver interface
Solution Approach 2:
The patent organizes events into a hierarchical dimension with individual events at the lower level and composite events at the upper level. This dimensional organization allows complete information to be maintained in the lower level while the upper level provides a simplified, consolidated view for the driver, effectively reducing cognitive burden without losing information completeness
Data Source
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AI summary
The present disclosure provides a cooperative vehicle infrastructure information processing method and apparatus, and a terminal device. The method includes: receiving a plurality of pieces of event information sent by an information sensor device; and in a case that at least two target events among the plurality of pieces of event information are driving decision-making homogeneous events, merging the at least two target events to generate a composite event, wherein the driving decision-making homogeneous events are events having a preset influence relationship.