Vehicle Relative Speed Monitoring for Road Rage Detection
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Solution Overview
Problem
Existing systems face challenges in accurately distinguishing between close following and malicious tailgating, leading to incorrect determination of road rage incidents based solely on vehicle speed and distance.
Innovation Solution
An information processing apparatus that periodically acquires relative speed between vehicles and performs processing when the number of polarity inversions exceeds a threshold, indicating continuous undesirable driving actions, thereby enhancing the accuracy of road rage detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vehicle speed and distance between vehicles are used to detect events, then the system can identify potential dangerous driving behaviors, but it cannot distinguish between close following and malicious tailgating
Solution Approach 1:
The system transitions from static threshold-based detection to dynamic pattern recognition by continuously monitoring relative speed over time. It analyzes the temporal dynamics of speed changes, including acceleration patterns, deceleration rates, and frequency of speed inversions, to distinguish between legitimate close following and malicious tailgating behaviors.
Solution Approach 2:
The system changes the detection parameters from simple speed and distance values to complex temporal patterns including the number of times relative speed polarity is inverted, continuous speed change patterns, and frequency of approach-recede cycles. These parameter transformations enable differentiation between normal and malicious driving behaviors.
2Productivity
If the system detects road rage based on simple speed and distance thresholds, then it can quickly identify potential incidents, but it produces false positives by misclassifying close following as malicious tailgating
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring relative speed patterns and comparing them against established thresholds for polarity inversions. The feedback loop analyzes whether speed patterns consistently exceed thresholds, allowing the system to confirm malicious behavior rather than reacting to transient conditions, thereby reducing false positives while maintaining quick detection.
Solution Approach 2:
The system performs preliminary analysis of speed patterns by counting polarity inversions and evaluating continuous speed changes before making a final road rage determination. This preliminary filtering of data patterns allows the system to quickly eliminate cases that don't meet the criteria for malicious behavior, reducing false positives while maintaining detection speed.
Data Source
AI summary
An information processing apparatus comprises a controller configured to execute periodically acquiring relative speed between two vehicles which are traveling on a same road; and performing predetermined processing in a case where a number of times that polarity of the relative speed is inverted in a first period exceeds a first threshold.