Automated Accident Data Collection via V2X and Roadside Units
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Solution Overview
Problem
Current accident reconstruction methods are labor-intensive, time-consuming, and unreliable due to the lack of standardized event data recorders, limited data storage, and inefficient mechanisms for collecting and correlating data from vehicles and roadside units, especially from non-involved vehicles and roadside infrastructure.
Innovation Solution
An automated system that detects accidents and collects event data from involved and observing vehicles, as well as roadside units, using vehicle-to-everything (V2X) communications and accident investigation data recorders to store and transmit data for comprehensive reconstruction, including the use of accident information agents and a server system to process and validate data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional human witness collection methods are used for accident reconstruction, then flexibility in gathering information is maintained, but the process becomes labor-intensive and time-consuming
Solution Approach 1:
The system enables self-service by having vehicles automatically detect accidents and collect event data from themselves and surrounding vehicles without human intervention. The automated detection system triggers data collection from multiple sources, eliminating the need for manual witness interviews while maintaining comprehensive information gathering
Solution Approach 2:
The patent replaces the mechanical human witness collection process with an automated electronic system. Event data recorders in vehicles automatically detect accidents through sensors and collect data from multiple vehicles simultaneously, substituting human labor with automated detection and data aggregation systems
2Loss of information
If standardized event data recorders with sufficient storage are deployed in all vehicles, then data completeness is improved, but device complexity and cost increase
Solution Approach 1:
The system merges data collection capabilities across multiple vehicles by having each vehicle's event data recorder contribute to a comprehensive accident dataset. By combining data from multiple sources (involved vehicles and observing vehicles), the system achieves complete accident reconstruction information without requiring each individual recorder to store all possible data
Solution Approach 2:
The event data recorders serve multiple functions: they detect accidents, store local event data, identify surrounding vehicles, and collect data from observing vehicles. This multi-functionality reduces the need for separate specialized systems while maintaining comprehensive data collection capabilities
3Measurement precision
If data is collected from multiple vehicles and roadside units, then reconstruction accuracy is improved, but data correlation and processing complexity increases
Solution Approach 1:
The system introduces an intermediary server that receives, validates, and correlates data from multiple vehicles and roadside units. This central intermediary manages the complexity of data correlation by providing a unified processing platform that standardizes data from diverse sources and identifies relationships between different data streams
4Loss of time
If automated detection systems are implemented, then response time is reduced, but system complexity and initial time loss increase
Solution Approach 1:
The system performs preliminary actions by pre-deploying event data recorders and sensors in vehicles before accidents occur. These systems are pre-configured to automatically detect and record accident events, eliminating the need for manual intervention and enabling immediate data collection when accidents happen
Data Source
AI summary
In some examples, a system detects an accident involving a first vehicle, where the detecting is based on an accident indication received by the service over a network from a second vehicle not involved in the accident, the second vehicle different from the first vehicle, and where the accident indication from the second vehicle is responsive to messages received by the second vehicle from other vehicles. In response to the detecting of the accident, the system verifies that the accident occurred by sending, from the service, queries to a roadside unit and a third vehicle, and receiving, at the service, responses to the queries from the roadside unit and the third vehicle, the responses containing event data collected by the roadside unit and the third vehicle of events in a vicinity of the accident.