Vehicle Event Data Recording with Local Filtering and Secure Sharing
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Solution Overview
Problem
Existing transportation systems lack efficient methods for collecting, processing, and securely sharing vehicle event data with users and service providers, particularly in decentralized and permissioned blockchain environments, which are essential for vehicle authorization and service management.
Innovation Solution
A vehicle-based system utilizing sensors to collect data, determine events, and send relevant data to a server, combined with a decentralized blockchain for secure data storage and sharing, enabling quick authorization and service management through smart contracts and user profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle data is stored locally and transmitted to server only when needed, then data security and privacy are improved, but data availability and accessibility for service providers deteriorate
Solution Approach 1:
The system segments data into two categories: sensitive data stored locally in the vehicle and non-sensitive data stored on the server. This segmentation allows the system to maintain security by keeping sensitive information local while improving accessibility by making non-sensitive data available to service providers, thus resolving the contradiction between security and accessibility.
Solution Approach 2:
The server acts as an intermediary between the vehicle and service providers. It receives data from the vehicle, processes it, and selectively shares appropriate data with service providers while maintaining security protocols. This intermediary role enables balanced data sharing that preserves both security and accessibility requirements.
2Measurement precision
If comprehensive vehicle data is collected and stored for analysis, then event detection accuracy is improved, but data management complexity and storage requirements deteriorate
Solution Approach 1:
The system extracts and transmits only the necessary event-related data from the comprehensive vehicle data to the server for analysis. By taking out only the relevant portions of data rather than transmitting everything, the system maintains high event detection accuracy while significantly reducing data management complexity and storage requirements.
Solution Approach 2:
The vehicle performs preliminary data processing and filtering before transmitting data to the server. It identifies and prepares only the event-related data for transmission, which simplifies the overall data management process while ensuring that accurate event information is available for detection analysis.
3Speed
If real-time data transmission to server is implemented, then response time for service management is improved, but network dependency and data loss risk deteriorate
Solution Approach 1:
The system performs preliminary data processing and event detection locally in the vehicle before transmission to the server. This preliminary action enables the vehicle to respond to events independently and maintain operational speed even when network connectivity is interrupted, while still benefiting from server-based analysis when available.
Solution Approach 2:
The data transmission mechanism is made dynamic, adapting to network conditions. The system can transmit data in real-time when network connectivity is good and switch to local processing modes when connectivity is poor or unavailable. This dynamic approach maintains response speed while improving reliability by reducing network dependency.
Data Source
AI summary
An example operation includes one or more of storing, by a vehicle, data of an area proximate the vehicle, the data collected by one or more sensors of the vehicle; determining, by the vehicle, an event at a time based on the data from the one or more sensors; sending, by the vehicle, a portion of the data of the area to a server, wherein the portion includes the stored data from a first amount of time before the event to a second amount of time after the event; and receiving, by the vehicle, a reference from the server to the stored portion of the data of the area to a device associated with a user of the vehicle.