Accident Information Graph Generation for Reliable Crash Reporting
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Solution Overview
Problem
Existing vehicle accident reporting systems face challenges in accurately collecting and transmitting data due to vehicle damage, lack of connectivity in involved entities, and the need for significant data analysis by authorities, failing to capture all relevant information.
Innovation Solution
A coordination node generates an accident information graph using environment data with semantic annotations, coordinating data collection from various sources and transmitting it to an emergency authority for informed action.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle accident reporting systems rely on connected vehicles and infrastructure to collect and transmit data, then direct data transmission to authorities is achieved, but data accuracy and completeness deteriorate when vehicles are damaged or lack connectivity
Solution Approach 1:
The patent introduces a coordination node as an intermediary entity that collects data from multiple connected vehicles and roadside infrastructure, processes it into a structured graph format, and transmits it to emergency authorities. This mediator approach ensures that even if individual vehicles are damaged or disconnected, the coordination node can aggregate complete and accurate data from multiple sources, resolving the contradiction between transmission reliability and data accuracy.
2Loss of information
If multiple connected vehicles and infrastructure units collect and transmit accident data, then data coverage is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The patent segments the complex accident data collection system into distinct functional components: data collection units in vehicles and infrastructure, a coordination node for aggregation and processing, and emergency authority reception systems. Each component has a specific, simplified function, reducing individual device complexity while maintaining overall information completeness through the coordinated network.
Solution Approach 2:
The coordination node serves as an intermediary that handles the complex task of aggregating, validating, and structuring data from multiple sources before transmission to authorities. This centralizes the processing complexity in a single entity rather than requiring each vehicle and infrastructure unit to handle complex data fusion, thereby reducing distributed system complexity while maintaining information completeness.
3Loss of information
If accident data is collected from damaged vehicles, then data coverage is maintained, but transmission timeliness deteriorates due to vehicle condition
Solution Approach 1:
The system performs preliminary data collection and validation at the coordination node before transmission to emergency authorities. By pre-processing and structuring the accident data graph in advance with all relevant information aggregated, the system eliminates delays that would occur during authority-side data processing, thus maintaining data coverage while reducing transmission and processing time.
4Measurement precision
If significant data analysis is performed at the receiving authority, then usable intelligence is obtained, but response time increases
Solution Approach 1:
The coordination node performs preliminary data analysis, validation, and structuring into a standardized accident information graph format before transmission to emergency authorities. This pre-processing ensures that the data arrives at the authority in a ready-to-use format with high intelligence quality, eliminating the need for extensive analysis at the receiving end and thus reducing response time while maintaining precision.
Data Source
AI summary
A coordination node (1000) is disclosed for coordinating generation of an accident information graph comprising information representative of a vehicle accident environment. The coordination node comprises processing circuitry (1010) configured to detect an event associated with occurrence of a vehicle accident (110) and obtain environment data representative of the vehicle accident environment in which the event was detected (120). The processing circuitry is further configured to generate an accident information graph based on the obtained environment data, wherein the accident information graph comprises a structured representation of the obtained environment data and at least one semantic annotation to the obtained environment data (130).