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A knowledge-integrated learning framework for accurate quantification and semantic interpretation of driving
Zhaokun Chen1, Wenshuo Wang1, Chaopeng Zhang1
1School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Accident; Analysis and Prevention
|September 7, 2025
Summary
This study introduces a new method to assess aggressive driving by analyzing vehicle speed and acceleration. It provides detailed profiles of driver aggressiveness and identifies specific risky maneuvers.
Area of Science:
- Traffic Safety
- Driver Behavior Analysis
- Automotive Engineering
Background:
- Aggressive driving significantly contributes to traffic fatalities.
- Current assessment methods lack detailed analysis of driving aggressiveness severity and maneuver types.
- There is a need for advanced, granular methods to evaluate driver behavior for targeted interventions.
Purpose of the Study:
- To develop a novel framework for multidimensional assessment of aggressive driving.
- To quantify aggressiveness levels and classify specific aggressive driving maneuvers.
- To generate comprehensive aggressiveness profiles for individual drivers.
Main Methods:
- Utilized lateral-longitudinal acceleration and vehicle speed for assessment.
- Combined domain knowledge with non-parametric statistics for quantifying aggressiveness.
- Employed fuzzy clustering and semantic analysis for maneuver classification, assigning membership degrees.
- Integrated aggressiveness levels with maneuver membership distribution for profiling.
Main Results:
- The proposed framework effectively quantifies aggressiveness and classifies maneuvers.
- Experimental validation with real-world data (90 drivers) and in-vehicle testing confirmed effectiveness and practicality.
- Spatiotemporal analysis provided insights into the dynamics of aggressive driving and its environmental correlations.
Conclusions:
- The novel framework offers a more granular and comprehensive approach to assessing aggressive driving.
- This method can guide more effective driver interventions by detailing specific aggressive behaviors.
- The findings contribute to a deeper understanding of aggressive driving patterns and their influencing factors.
Keywords:
Driving aggressivenessPrior knowledgeReal-time in-vehicle testingSpatiotemporal analysisTraffic safetyMore Related Videos
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