Research projects

Driver Profile: Personality, Mood, and Driving Style

2021 - 2022 UCR&Honda

Introduction

This study examines relationships among driving style, personality traits, and mood states. It combines recorded driving behavior with survey responses from 28 licensed male drivers aged 21 to 40.

A fuzzy logic inference system identifies driving styles, while clustering and random forest models relate those styles to personality and mood measures.

Mood-Personality-Driving Style Relationship
Relationships among personality traits, mood states, and driving style.

Framework

Research Framework
Framework combining survey responses, driving behavior data, and predictive models.

Results & Visualizations

Driving Simulation
Driving simulation used for behavior data collection.
Personality Clusters
Personality clusters identified in the study.
Driving Style Classification
Driving style classification results.
Personality vs Mood Analysis
Analysis of personality traits and mood states.
Extended Personality-Mood Analysis
Additional comparisons of personality and mood measures.

Related Publications

All research projects