Vehicle Driving Behavior Root-Cause Analysis for Recurrence Prevention
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Solution Overview
Problem
Existing solutions for abnormal driving behavior focus on mitigating the risk after the behavior occurs, rather than identifying and addressing the root cause, leading to recurring abnormal driving behaviors.
Innovation Solution
The origin system determines the root cause of abnormal driving behavior by analyzing sensor data and executing cause-and-effect analyses, then implements strategies to prevent the recurrence of the abnormal behavior in future driving experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system analyzes sensor data and executes cause-and-effect analyses to determine the origin of abnormal driving behavior, then the root cause is identified and strategies can be executed to reduce recurrence, but the complexity of the system increases
Solution Approach 1:
The system segments the complex task of identifying abnormal driving behavior into distinct components: sensor data collection, event identification within a predetermined time window, cause-and-effect analysis, and strategy execution. This segmentation allows each component to be processed independently, managing complexity while maintaining comprehensive analysis capability
Solution Approach 2:
The system performs partial analysis by focusing on events that occurred within a specific predetermined time window before the abnormal behavior, rather than analyzing all possible historical data. This partial action approach reduces computational complexity while still identifying the relevant root causes effectively
Data Source
AI summary
The disclosure includes embodiments for identifying an origin of abnormal driving behavior for improved vehicle operation. A method includes identifying an abnormal driving behavior of a driver of a vehicle at a time T. The method includes identifying a set of events that occurred within a predetermined time Δt before time T. The method includes executing, by a processor, a cause-and-effect analysis on the set of events to determine one or more events from the set of events that caused the abnormal driving behavior. The method includes executing a strategy to reduce the abnormal driving behavior so that vehicle operation is improved.