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자기보고 기반 운전성향을 통한 주행행태 특성 추정 연구

Estimation of Driving Behavior Characteristics through Self-Reported-Based Driving Propensity

이동민|황순천
한국ITS학회 (The Korean Society of Intelligent Transport Systems)|2024.02|한국ITS학회 논문지 (Journal of Korean Society of Intelligent Transport Systems)|제23권 제1호|pp. 26-41|DOI https://doi.org/10.12815/kits.2024.23.1.26

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참고문헌

키워드

QuestionnaireDriving simulator주행 시뮬레이터운전성향설문기법주행행태Driving propensityDriving behaviors

초록

안전한 도로교통 환경 조성을 위하여 운전행동에 영향을 미치는 인적요인에 관한 연구가필요하지만, 실제 주행행태에 영향을 미치는 개인별 인적요인 특성을 도출하기에는 많은 어려움이 있다. 이에, 개별 운전자의 자기 보고를 통하여 도출되는 위험운전성향을 분석하여 주행행태 특성과 상관성이 있는지 확인하고, 교통상황에 따른 주행행태에 영향을 미치는 운전성향을 추정하는 방법을 제시하고자 하였다. 본 연구에서는 기존에 고안된 설문 기법을 활용하여실험 참가자들의 위험운전성향을 여러 방법으로 도출하고, 가상환경 기반의 주행 시뮬레이터실험을 통하여 도출된 주행행태 특성을 분석하여 위험운전성향과 주행행태 특성 간 유의미한상관관계가 있는지 확인하였다. 실험 결과, 한국형 DBQ를 통하여 도출되는 난폭운전성향이높은 사람들이 상대적으로 빠른 주행속도와 가속도 행태를 보이는 것을 확인할 수 있었다. 이를 통하여 상대적으로 위험운전행동을 보이는 운전자를 추정할 수 있는 평가 방법을 확인할수 있었다.

Abstract

To ensure safer road conditions, understanding the human factors influencing driving behavior is crucial. However, there are many difficulties in deriving the characteristics of individual human factors that affect actual driving behaviors. Therefore, this study analyzes self-reported dangerousdriving propensities in order to explore potential correlations with drivers’ behaviors. The goal is to propose a method for assessing driving tendencies based on varying traffic scenarios. The study employed a questionnaire to gauge participants' propensity to drive dangerously, utilizing a simulator to analyze their driving behaviors. The aim is to determine any notable connections between dangerous-driving propensity and specific driving behaviors. Results indicate that individuals exhibiting a high propensity for reckless driving, as identified by the Korean DBQ, tend to drive at higher speeds and display more aggressive acceleration patterns. These findings contribute to a potential method for assessing reckless driving drivers.

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