Driving Diagnostics Using Relative Distance Modes to Exclude Traffic Effects
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Solution Overview
Problem
Existing driving diagnostic systems struggle to accurately diagnose driving content based on inter-vehicle distances, as they fail to distinguish between driver behavior and external traffic situations, leading to incorrect assessments of driving risk.
Innovation Solution
A driving diagnostic system that acquires relative distances between a host vehicle and a preceding vehicle, determines mode values or mode classes of these relative distances, and uses this information to diagnose driving content, thereby excluding the influence of external traffic situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If diagnosis is performed based on the average value of inter-vehicle distances or the number of times the distance becomes smaller than a threshold, then the system can capture overall driving patterns, but it incorrectly includes the influence of surrounding traffic situations (such as preceding vehicle behavior, traffic congestion, or cut-in maneuvers) leading to inaccurate driving content diagnosis
Solution Approach 1:
The patent extracts and removes the influence of surrounding traffic situations from the inter-vehicle distance data before diagnosis. By separating the driver's operational input from external factors (preceding vehicle deceleration, traffic congestion, cut-in maneuvers), the system diagnoses driving content based only on the driver's actual driving operations, thereby improving diagnosis accuracy while eliminating harmful external influences
Solution Approach 2:
The system introduces an intermediary processing step that analyzes the relationship between host vehicle operations and preceding vehicle behavior. This intermediary layer determines whether inter-vehicle distance changes are caused by driver operations or external factors, allowing the system to selectively include or exclude these factors from the diagnosis, thus resolving the contradiction between capturing overall patterns and eliminating external influences
2Reliability
If the system diagnoses driving content based on inter-vehicle distance decreases, then it can identify potential risky driving behaviors, but it falsely diagnoses situations where the distance decrease is caused by external factors (preceding vehicle sudden deceleration, traffic congestion, cut-in maneuvers) rather than driver error
Solution Approach 1:
The patent converts the potentially harmful effect of external traffic factors (which cause false risk diagnoses) into a beneficial diagnostic tool. By analyzing whether distance decreases are caused by preceding vehicle behavior or driver operations, the system transforms what was previously source of false positives into a means of improving risk assessment reliability through selective attribution of cause
Data Source
AI summary
A driving diagnostic system includes: a relative distance acquisition unit configured to acquire a relative distance according to an inter-vehicle distance between a host vehicle and a preceding vehicle and a speed of the host vehicle; a mode value acquisition unit configured to acquire a mode value of the relative distances; a mode class determination unit configured to group the relative distances into classes according to magnitudes of the relative distances and determine a mode class from the classes; and a diagnostic unit configured to diagnose driving content of the host vehicle based on the mode value or the mode class.