V2X Alert Accuracy via Dynamic Thresholds
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Solution Overview
Problem
V2X applications face errors due to insufficient accuracy of vehicle state parameters, time differences in message reception, unpredictability of driver behavior, and unavailability of road layouts and environmental conditions, leading to a high rate of false-positive and false-negative collision alerts, which compromises road safety.
Innovation Solution
A system and method that adapt V2X applications and confidence thresholds based on specific travel conditions, including driver behavior, response times, road layouts, and environmental conditions, by transmitting event data to a central traffic rule server for analysis and rule creation to reduce false-positive and false-negative alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a low confidence threshold is used in V2X applications, then the rate of false-negative alerts is reduced, but the rate of false-positive alerts increases
Solution Approach 1:
The patent implements dynamic adjustment of confidence thresholds based on real-time environmental conditions, road layouts, and driver behavior patterns. The system adapts the threshold dynamically rather than using a fixed value, allowing optimization of the balance between false-positive and false-negative rates according to specific operational contexts.
Solution Approach 2:
The system changes the confidence threshold parameter based on multiple factors including driver behavior analysis, response time measurements, road layout characteristics, and environmental conditions. This parameter adaptation allows the V2X application to optimize alert accuracy for different scenarios.
2Ease of operation
If V2X applications use fixed confidence thresholds, then the system operation is simple, but the accuracy of collision alerts deteriorates under varying conditions
Solution Approach 1:
The system performs self-optimization by automatically analyzing driver behavior, response times, road layouts, and environmental conditions to determine appropriate confidence thresholds. This eliminates the need for manual configuration while maintaining high accuracy across varying conditions.
Solution Approach 2:
The system incorporates feedback loops that continuously monitor alert outcomes, driver responses, and environmental factors to refine and adjust confidence thresholds. This feedback mechanism enables the system to learn from past performance and improve accuracy over time without manual intervention.
3Measurement precision
If V2X applications consider multiple factors (driver behavior, response times, road layouts, environmental conditions) in defining confidence thresholds, then the alert accuracy is improved, but the system complexity increases
Solution Approach 1:
The patent introduces intermediary components including a central server for data aggregation and analysis, and intermediate processing layers that handle different factors (driver behavior, road layouts, environmental conditions) separately before integrating them into threshold decisions. This modular intermediary structure manages complexity while maintaining comprehensive analysis.
Data Source
AI summary
A system and method of use, the system including: a vehicle-to-everything (V2X) module installed in a vehicle and including a V2X application running thereon wherein the V2X application is configured to generate or suppress an alert; and a traffic rule server (TRS) in data communication with the V2X module, wherein the TRS is configured to collect event data from the V2X module related to the generated or suppressed alert, the event data including an event location, and is further configured to determine whether the generated or suppressed alert was a false positive (FP), false negative (FN), or true positive (TP) alert, and to create a rule for use in a V2X application receiving the rule, the rule used for reducing FP and FN alerts generated or suppressed in the proximity of the event location by the V2X application receiving the rule.