Vehicle Accident Severity Detection and Notification Server
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Solution Overview
Problem
Existing methods for accident information collection and processing on roads are inadequate as they rely on manual reporting and lack real-time data from vehicles, leading to potential secondary accidents due to unaware trailing vehicles.
Innovation Solution
A server device and method that collect event data from vehicles, determine accident severity based on airbag deployment, vehicle deceleration, and ESC operation, and transmit notifications to trailing vehicles, including image data and detour paths when necessary, to enhance safety and awareness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual reporting methods are used for accident information collection, then system complexity is reduced, but information reliability and real-time capability deteriorate
Solution Approach 1:
The system enables vehicles to automatically detect and report accidents through onboard sensors (airbag deployment sensors, deceleration sensors, ESC operation sensors) without requiring manual intervention from drivers or witnesses. The vehicle itself serves as the reporting source, collecting and transmitting accident data autonomously to the server, thereby improving reliability while avoiding the complexity of manual reporting systems.
Solution Approach 2:
The patent replaces manual reporting mechanisms with automated electronic sensing and communication systems. Sensors detect physical parameters (deceleration, airbag deployment, ESC operation) and automatically transmit digital data to the server, substituting the mechanical/manual process with an electronic automated system that enhances reliability.
2Measurement precision
If comprehensive event data from multiple vehicles is collected and processed, then accident severity determination accuracy is improved, but information processing time and computational load increase
Solution Approach 1:
The system performs preliminary actions by continuously collecting and pre-processing event data from multiple vehicles before an accident occurs. Vehicles constantly monitor and transmit their operational status (deceleration, ESC operation, airbag status) to the server, so when an accident happens, the data is already prepared and available for immediate analysis, reducing processing time while maintaining high accuracy.
Solution Approach 2:
The patent segments the accident detection process into distinct data sources (airbag deployment data, deceleration data, ESC operation data) from different vehicles. The server processes each segment independently and integrates them to determine overall accident severity, allowing parallel processing that reduces total computation time while maintaining comprehensive analysis accuracy.
3Object-affected harmful factors
If real-time accident notifications are transmitted to trailing vehicles, then road safety is improved, but network communication load and energy consumption increase
Solution Approach 1:
The system applies local quality by transmitting notifications selectively to only those trailing vehicles that are in proximity to the accident and at risk of secondary accidents. Rather than broadcasting to all vehicles in the network, the server identifies and notifies only the relevant local vehicles, reducing overall network load and energy consumption while effectively preventing secondary accidents in the affected area.
Solution Approach 2:
The system performs preliminary actions by pre-calculating which trailing vehicles are at risk based on their location, speed, and distance from the accident scene. Notifications are prepared in advance and transmitted only to pre-identified target vehicles, avoiding unnecessary communication energy consumption while ensuring timely warnings reach the vehicles that need them most.
4Loss of information
If additional information (image data, control data) is collected when accident severity threshold is met, then accident analysis completeness is improved, but data collection complexity and storage requirements increase
Solution Approach 1:
The system uses parameter changes by setting a threshold value for accident severity based on initial event data analysis. When the calculated severity exceeds this threshold, the system automatically triggers additional data collection (image data, detailed control data). This conditional approach ensures complete information is gathered for serious accidents while avoiding unnecessary data collection for minor incidents, balancing information completeness with system simplicity.
Solution Approach 2:
The server performs preliminary analysis of basic event data (airbag deployment, deceleration, ESC operation) to determine accident severity before triggering additional data collection. This preliminary assessment allows the system to selectively request additional information only when necessary, maintaining information completeness for significant accidents while avoiding the complexity of continuously collecting all possible data types.
Data Source
AI summary
A server is provided for vehicle operation control. The server may collect, from one or more vehicles in a road section, event data regarding a traffic accident associated with a road section; determine, based on the event data and among the one or more vehicles, a quantity of vehicles that had at least one airbag deployed in connection with the traffic accident; determine, based on the quantity of the vehicles that had at least one airbag deployed in connection with the traffic accident, an accident severity value indicating seriousness of the traffic accident; transmit, based on the accident severity value, a notification to a trailing vehicle; and collect, based on a determination that the accident severity value satisfies a threshold value, additional information associated with the traffic accident.