V2X Status Data Assignment for Privacy-Compliant Accident Reconstruction
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Solution Overview
Problem
Existing V2X networks face challenges in assigning status information to individual vehicles while adhering to high data protection requirements, as continuous transmission of unambiguous identifiers is not permissible and anonymized storage complicates accident reconstruction.
Innovation Solution
A method for storing and evaluating status information within a V2X network that allows for data protection-compliant assignment of status information to individual vehicles by comparing anonymized status information with vehicle information, enabling indirect assignment during irregular events like accidents without using unambiguous identifiers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If V2X messages use highly anonymized identifiers for data protection, then data privacy is protected, but the ability to assign status information to individual vehicles during accidents is lost
Solution Approach 1:
The patent segments the identification process into two distinct phases: (1) anonymized communication during normal operation using pseudonymous identifiers, and (2) selective re-identification during accident investigation by matching sensor data patterns. This segmentation allows the system to maintain data protection during routine V2X communication while enabling vehicle identification when necessary for accident reconstruction.
Solution Approach 2:
The system performs preliminary actions by continuously recording and storing status information from multiple sensors (accelerometers, gyroscopes, GPS, etc.) before an accident occurs. This pre-recorded data is stored in an anonymized form but retains sufficient detail to enable later vehicle identification through pattern matching, thus preparing the system in advance for potential accident reconstruction needs.
2Loss of information
If continuous identifiers are transmitted with status information, then vehicle identification is enabled, but movement profiles can be created compromising data protection
Solution Approach 1:
The patent extracts only the necessary minimum information for accident reconstruction while leaving out continuous identification data. Instead of transmitting continuous identifiers, the system extracts and stores specific sensor data patterns (acceleration, orientation, position changes) that can uniquely identify a vehicle involved in an accident without enabling continuous tracking or movement profile creation.
Solution Approach 2:
The system changes the parameter representation from continuous identifiers to episodic sensor data snapshots. By transforming the identification mechanism from using persistent vehicle IDs to using temporary sensor state parameters (acceleration vectors, GPS coordinates at specific times), the system enables identification only when needed while maintaining data protection during normal operation.
3Loss of information
If status information is permanently recorded in the vehicle, then assignment to individual vehicles is ensured, but the process becomes complex and movement profiles can still be created
Solution Approach 1:
The patent introduces a centralized server as an intermediary that handles the complex task of data correlation and vehicle identification. Instead of requiring complex local processing in each vehicle, the server receives anonymized status information from multiple vehicles and uses its computational resources to match sensor patterns with accident reports, thereby simplifying the overall system architecture while maintaining vehicle assignment capability.
Solution Approach 2:
The system creates copies of status information in a standardized, anonymized format that can be stored and processed without containing direct identification data. By copying and storing sensor data patterns rather than vehicle identifiers, the system enables later matching and identification while keeping the stored data itself anonymized and preventing direct movement profile creation.
Data Source
AI summary
Technologies and techniques for assigning anonymized status information recorded by vehicles in a V2X network to respective vehicles when an irregular event such as an accident occurs. An anonymized assignment takes place by comparing the status information with vehicle information relating to vehicles involved in an irregular event. Therefore, despite the status information being in an anonymized form, when an irregular event occurs, the information is assigned to the individual vehicles and the event, in particular the accident, is thus reconstructed.