Transport Event Severity Analysis Using Vehicle and Proximate Data
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Solution Overview
Problem
Vehicles lack the capability to directly participate in severity determination for transport events, and existing systems do not effectively utilize their sensors and analysis functions for safety-related checks and accident mitigation.
Innovation Solution
A decentralized database system using blockchain technology is employed to collect, process, and analyze vehicle and external data to determine transport event severity, enabling vehicles to authorize services and communicate with external devices to mitigate potential dangers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicles are equipped with complex sensors and analysis functions for severity determination, then safety-related checks and accident mitigation capability are improved, but device complexity increases
Solution Approach 1:
The patent introduces a server as an intermediary that performs the complex severity determination calculations. The server receives sensor data from vehicles and external devices, then processes this data to determine event severity. This mediator approach allows vehicles to have simpler onboard systems while still benefiting from sophisticated analysis capabilities centralized on the server.
Solution Approach 2:
The system enables vehicles and external devices to autonomously participate in severity determination by contributing their sensor data and analysis results. Each device performs self-service by monitoring its own sensors and submitting data to the server, which then integrates this information into the overall severity assessment without requiring constant central control of each device.
2Reliability
If vehicles directly participate in severity determination, then safety response effectiveness is improved, but loss of time in data collection and processing increases
Solution Approach 1:
The system performs preliminary actions by continuously collecting and pre-processing sensor data from vehicles and external devices before events occur. Devices maintain ready-state data buffers and pre-computed analysis results, so when an event happens, the severity determination can proceed using pre-prepared information, significantly reducing processing time.
Solution Approach 2:
The server provides feedback to vehicles and external devices about their data contribution quality and timing. This feedback mechanism allows devices to optimize their data collection and transmission timing, ensuring critical information is submitted promptly for rapid severity determination while maintaining overall system efficiency.
Data Source
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AI summary
An example operation includes one or more of receiving, by a server, primary data related to an event from one or more devices associated with one or more transports, receiving, by the server, secondary data from one or more other devices proximate to the event, analyzing, by the server, the primary data and the secondary data to determine a severity of the event, and sending, from the server, a first notification to the one or more devices associated with the primary data and a second notification to one or more of the other devices associated with the secondary data, based on the severity of the event.