Connected Vehicle Event Response for Fault Detection and Restoration
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Solution Overview
Problem
Current systems fail to effectively utilize data from vehicles involved in or near events such as accidents to facilitate restoration and processing, with vehicles often being a burden rather than a help and data being underutilized.
Innovation Solution
A system that identifies events using data from vehicle operation sensors, determines the at-fault party, and generates objects or responses, including autonomous maneuvers, to initiate repairs and avoid future incidents through connected vehicle and infrastructure communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If vehicles are involved in events and current systems process them, then event processing occurs, but vehicles become a burden and data is underutilized
Solution Approach 1:
The patent converts the burden that vehicles represent during event restoration into a benefit by having vehicles actively participate in the restoration process. Vehicles in the vicinity are recruited to perform restoration tasks such as clearing debris or providing assistance, transforming them from passive obstacles into active contributors to the restoration effort.
Solution Approach 2:
The system implements feedback mechanisms where vehicles involved in or near events provide data about the event and restoration progress. This feedback loop allows the system to optimize resource allocation, coordinate restoration efforts more effectively, and continuously improve the response based on real-time conditions observed by participating vehicles.
2Loss of information
If data from vehicles is collected during events, then more information is available, but data utilization remains insufficient
Solution Approach 1:
The patent makes vehicle data serve multiple functions: it is used for event detection, fault determination, restoration coordination, and future event prevention. The same data collected from vehicle sensors is leveraged across different stages of the event response lifecycle, maximizing the value extracted from the available information without requiring additional data collection infrastructure.
3Measurement precision
If fault determination is performed using vehicle data, then at-fault party is identified, but system complexity increases
Solution Approach 1:
The system enables vehicles to self-report their operational status and sensor data through existing onboard systems. Each vehicle independently provides its own data about the event conditions, eliminating the need for complex external measurement systems. The fault determination process leverages this self-reported data from multiple vehicles to identify the at-fault party through comparative analysis.
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 a second vehicle and a third vehicle based on the first data, receiving second data acquired by a second plurality of vehicle operation sensors of the second vehicle, identifying which vehicle of the second vehicle or the third vehicle is at-fault based on the first data and the second data, determining, for the first subscriber and responsive to determining that the first data was used in determining which of the first vehicle or the second vehicle is at-fault, one or more objects, and transmitting the one or more objects to the first computing device.