Connected Vehicle Event Response With Automated Fault Distribution
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Solution Overview
Problem
Existing vehicle event processes are inefficient in utilizing data from involved vehicles, leading to prolonged restoration times and underutilization of vehicle data, with vehicles often becoming a burden rather than aiding in the restoration process.
Innovation Solution
A system that identifies events through vehicle sensors, determines the at-fault party based on uploaded data, and generates objects or responses to facilitate restoration, utilizing vehicle-to-vehicle and vehicle-to-infrastructure communication to enhance data utilization and automate responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicles involved in an event remain stationary and passive, then safety is maintained, but restoration process is elongated and vehicles become a burden
Solution Approach 1:
The system enables vehicles to automatically perform fault determination and response generation without requiring external intervention. The vehicle's own sensors and processors identify the event, determine fault based on collected data, and generate appropriate responses, making the vehicle self-sufficient in the restoration process
Solution Approach 2:
The system collects and processes data from multiple sources (sensors, images, videos) before the restoration process begins. By pre-identifying the at-fault party and generating responses in advance, the system eliminates delays that would occur during post-event analysis
2Measurement precision
If comprehensive data is collected from all vehicles in vicinity, then event identification accuracy is improved, but data processing complexity increases
Solution Approach 1:
The system extracts only the necessary data elements from the comprehensive dataset collected by multiple vehicles. By identifying and extracting only the relevant sensors, images, and videos needed for fault determination, the system reduces processing complexity while maintaining identification accuracy
Solution Approach 2:
The data processing is divided into separate modules: data collection from various sources, data validation and filtering, fault determination analysis, and response generation. This segmentation allows each module to handle specific tasks independently, reducing overall system complexity
3Productivity
If automated fault determination is implemented, then restoration speed is improved, but system complexity increases
Solution Approach 1:
The system uses a multi-functional platform that can collect data from various sources (sensors, cameras, videos), process different types of information, determine fault across different event types, and generate multiple response types. This universal approach reduces the need for separate specialized systems for each function
Solution Approach 2:
The system introduces an intermediary processing layer that mediates between raw data collection and fault determination. This intermediary layer validates, filters, and prepares data before analysis, simplifying the overall automation process while maintaining restoration speed
Data Source
AI summary
Event-based and subscription-based connected vehicle control and response systems, methods, and apparatus are disclosed. An example method comprises receiving first data acquired by a first plurality of vehicle operation sensors of a first vehicle from a first computing device associated with a first subscriber, identifying an occurrence of an event involving the first vehicle, requesting second data acquired by one or more responsive object sensors in a vicinity of the event, determining a causation of the event, generating a fault distribution, and transmitting the fault distribution to the computing device of the first subscriber.