Road Rage Detection Using Third-Vehicle Context
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Solution Overview
Problem
Existing methods for determining road rage based on intervehicle distance are prone to inaccuracies, leading to erroneous determinations when the decrease in distance is not due to intentional aggressive driving.
Innovation Solution
A determination device and method that considers not only the close state between two vehicles but also the presence of a third vehicle in front of the second vehicle, using conditions such as intervehicle distance, deceleration frequency, vehicle speed, and road regulations to accurately assess road rage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If road rage determination is based solely on intervehicle distance, then the determination process is simple, but determination accuracy deteriorates due to false positives from non-aggressive close states
Solution Approach 1:
The determination process is segmented into multiple independent evaluation dimensions: close state determination (first condition), third vehicle existence determination (second condition), and road rage determination based on combined conditions. This segmentation allows each condition to be evaluated separately and combined logically, improving accuracy without creating an unmanageably complex system.
Solution Approach 2:
The system transitions from one-dimensional determination (intervehicle distance only) to two-dimensional determination by adding the third vehicle existence condition. This dimensional expansion enables the system to distinguish between genuine road rage scenarios and false positives caused by traffic congestion, thereby improving determination accuracy.
2Measurement precision
If multiple conditions are considered for road rage determination, then determination accuracy improves, but device complexity increases
Solution Approach 1:
The complex determination process is segmented into manageable components: close state determination unit, third vehicle determination unit, and road rage determination unit. Each unit handles a specific aspect, making the overall complex system easier to implement and maintain while achieving high determination accuracy.
Solution Approach 2:
The system implements a sufficient number of conditions (two main conditions) to achieve accurate road rage determination without over-complicating the system. This partial action approach provides the necessary accuracy improvement while avoiding excessive complexity that would arise from adding more conditions.
Data Source
AI summary
To effectively increase determination accuracy for road rage, provided is a determination device including: a close state determination unit (12) configured to determine whether a first vehicle (V1) and a second vehicle (V2) are in a predetermined close state; a third vehicle determination unit (11) configured to determine whether a third vehicle (V3) traveling in front of the second vehicle (V2) exists; and a road rage determination unit (16) configured to avoid determining that the road rage is being executed when at least one condition of a first condition that the close state determination unit (12) determines that the close state exists and a second condition that the third vehicle determination unit (11) determines that the third vehicle does not exist is not satisfied, and to determine that the road rage is being executed when the first condition and the second condition are satisfied.