Edge Device Alert System for Connected Vehicles
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Solution Overview
Problem
Existing vehicle systems lack the capability to effectively process observations beyond the observable range of drivers and vehicle sensors, particularly regarding aggressive driving behaviors, which can impact driving decisions and require significant computational power beyond the capability of standard vehicles.
Innovation Solution
An edge-assisted alert system that acquires observations from connected vehicles and roadside units, classifies vehicle behaviors, determines the impact on connected vehicles, and sends vehicle-specific alerts to affected vehicles, leveraging edge devices for computational processing and data retrieval from servers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If vehicle systems process observations beyond observable range using edge devices, then information completeness improves, but system complexity increases
Solution Approach 1:
The patent introduces edge devices as intermediary components between vehicles and centralized servers. These edge devices aggregate and pre-process data from multiple vehicles and sensors, performing initial classification of behaviors and identification of hazards. This intermediary layer reduces the information loss by extending observable range while avoiding the complexity of direct vehicle-server communication for all data processing tasks.
Solution Approach 2:
The system segments processing tasks between multiple components: vehicles perform local sensing, edge devices perform regional aggregation and preliminary analysis, and servers perform comprehensive processing. This segmentation allows information completeness to improve through collective observation while keeping individual device complexity manageable by distributing processing responsibilities.
2Reliability
If edge devices classify vehicle behaviors and determine impacts, then driving decision quality improves, but computational power requirements increase
Solution Approach 1:
The edge devices perform partial classification and impact determination rather than complete analysis. They identify obvious aggressive behaviors and hazards, then transmit only the critical classified information to vehicles. This partial action approach improves driving decision quality by providing relevant insights while avoiding the excessive computational power requirement of complete behavior analysis at the edge.
Solution Approach 2:
Instead of performing all computational processing at edge devices, the system uses vehicles' existing sensors and processing capabilities to generate observations, then copies and shares this data through edge devices. The edge devices perform lightweight classification on copied data rather than original raw data, reducing computational power requirements while maintaining driving decision quality.
3Loss of time
If the system sends vehicle-specific alerts to connected vehicles, then response time improves, but communication overhead increases
Solution Approach 1:
The system implements local quality by sending vehicle-specific alerts tailored to each connected vehicle's situation rather than broadcasting generic warnings to all vehicles. Edge devices determine which vehicles are impacted by classified behaviors and send targeted alerts only to those vehicles. This approach improves response time by providing relevant information to affected vehicles while minimizing communication overhead by avoiding unnecessary broadcasts to unaffected vehicles.
Data Source
AI summary
An edge device can send a vehicle-specific alert to a connected vehicle, which is configured to communicate with the edge device. The edge device can receive observations of other vehicles on the road from connected vehicles and/or roadside units. The edge device can also receive driving history and/or other information about the other vehicles from a server. The edge device can classify the behavior of vehicles detected in the observations based on the observations, driving history, and/or other information. Based on the classified behavior, the edge device can determine whether and how the connected vehicle is impacted and, if impacted, send the vehicle-specific alert to the connected vehicle.