PURPOSES : Driving simulations are widely used for safety assessment because they can minimize the time and cost associated with collecting driving behavior data compared to real-world road environments. Simulator-based driving behavior data do not necessarily represent the actual driving behavior data. An evaluation must be performed to determine whether driving simulations accurately reflect road safety conditions. The main objective of this study was to establish a methodology for assessing whether simulation-based driving behavior data represent real-world safety characteristics. METHODS : A 500-m spatial window size and a 100-m moving size were used to aggregate and match the driving behavior indicators and crash data. A correlation analysis was performed to identify statistically significant indicators among the various evaluation metrics correlated with crash frequency on the road. A set of driving behavior evaluation indicators highly correlated with crash frequency was used as inputs for the negative binomial and decision tree models. Negative binomial model results revealed the indicators used to estimate the number of predicted crashes. The decision-tree model results prioritized the driving behavior indicators used to classify high-risk road segments. RESULTS : The indicators derived from the negative binomial model analysis were the standard deviation of the peak-to-peak jerk and the time-varying volatility of the yaw rate. Their importance was ranked first and fifth, respectively, using the proposed decision tree model. Each indicator has a significant importance among all indicators, suggesting that certain indicators can accurately reflect actual road safety. CONCLUSIONS : The proposed indicators are expected to enhance the reliability of driving-simulator-based road safety evaluations.

PURPOSES : Because a driving simulator typically focuses on analyzing a driver’s driving behavior, it is difficult to analyze the effect on the overall traffic flow. In contrast, traffic simulation can analyze traffic flow, that is, the interaction between vehicles; however, it has limitations in describing a driver’s driving behavior. Therefore, a method for integrating the simulator and traffic simulation was proposed. Information that could be controlled through driving experiments was used, and only the lane-change distance was considered so that a more natural driving behavior could be described in the traffic flow. METHODS : The simulated connection method proposed in this study was implemented under the assumption of specific traffic conditions. The driver’s lane-changing behavior (lane-changing distance, deceleration, and steering wheel) due to the occurrence of road debris was collected through a driving study. The lane-change distance was input as a parameter for the traffic simulation. Driving behavior and safety were compared between the basic traffic simulation setting, in which the driver's driving behavior information was not reflected, and the situation in which the driving simulator and traffic simulation were integrated. RESULTS : The number of conflicts between the traffic simulation default settings (Case 1) and the situation in which the driving simulator and traffic simulation were integrated (Case 2) was determined and compared for each analysis. The analysis revealed that the number of conflicts varied based on the level of service and road alignment of the analysis section. In addition, a statistical analysis was performed to verify the differences between the scenarios. There was a significant difference in the number of conflicts based on the level of service and road alignment. When analyzing a traffic simulation, it is necessary to replicate the driving behavior of the actual driver. CONCLUSIONS : We proposed an integration plan between the driving simulator and traffic simulation. This information can be used as fundamental data for the advancement of simulation integration methods.

목적 : 본 연구는 노인운전자를 대상으로 한 운전 관련 기능 및 차량 적합성을 평가한 사례를 보고하고 노인운전자의 안전운전에 필요한 중재의 방향성을 알아보고자 하였다. 연구방법 : 경기 남부 지역의 지역사회 거주 중인 노인 7명을 대상으로 선정하였다. 자료를 수집하기 위해 노인운 전자의 신체기능(인지, 운동. 감각 기능)을 평가하고 운전행동에 대한 자기 보고, 차량조절 프로그램(Carfit)을 이 용한 운전자-차량 적합성 평가를 실시하였다. 결과 : 7명의 대상자 중 3명에서 최근 1년 내 범칙금 부과와 교통사고 경험이 보고되었다. 신체기능에서는 MMSE-DS 검사와 관절가동범위 검사 결과가 모두 정상이었다. 반면 시계그리기 검사(CDT)에서 2명(28.6%), 선 로잇기 검사(TMT-B)에서 4명(57.1%)의 대상자가 어려움을 보였다. 시야검사 결과 7명의 대상자(100%) 모두 정상 보다 저하된 시야범위를 갖고 있었으며, 차량적합성 평가(Carfit)에서도 모든 대상자(100%)에서 하나 이상의 차량 적합성 문제가 나타났다. 결론 : 운전은 지역사회 참여의 수단으로 큰 의미를 가진다. 저하된 운전 관련 신체기능, 부적절한 운전행동 및 차량 적합성은 노인의 안전운전을 위협할 수 있다. 따라서 운전행동 및 차량 조절에 관련된 운전 중재가 필요하며, 본 연구에서는 제시된 평가 사례는 노인의 안전운전 중재 계획에 필요한 자료를 확보하는 방법으로 활용될 수 있다. 향후 노인운전자와 이들의 운전에 대한 자료 수집을 위한 확대 연구 및 중재 실천에 대한 연구가 시행되어야 한다.

PURPOSES: A hard shoulder lane (HSL) is a method of solving severe traffic congestion on an expressway. Recently, it has been applied to several expressways in Korea, and there have been numerous positive effects, which include increasing the road capacity and reducing traffic congestion. However, these effects have been limited due to tunnels which created a‘ bottle-neck’effect in HSL application for longer road segments. In the tunnel sections, an HSL is generally not operational owing to problems such as narrow roads and the risk of accidents. If an HSL can be extended to tunnel segments, great positive effects can be achieved. Therefore, this study was conducted to evaluate driver behavior and stability to investigate the risk of HSL in tunnels. METHODS: The Driving Simulator experiments were conducted using some scenarios for the Geumnam and Seojong tunnels on the Seoul- Chuncheon Highway. Based on data from the experiments such as running speed, lateral replacement, and steering handling, the running stabilities of participants were analyzed. In addition, traffic flow data from VDS(Vehicle Detection System) were analyzed as before-after studies. RESULTS: Although there were some differences in driving behaviors, most participants showed safe driving behavior at a speed of less than 50 km/h. CONCLUSIONS : Based on driving behaviors and traffic flow analyses, it is concluded that HSL in tunnels can be an alternative to increase efficiency based on safe driving environments for speeds of below 50 km/h.

목적 : 본 연구는 다양한 운전상황에서의어려움 정도를 평가하는 안전운전행동 체크리스트를 개발할 때 수집된 데이터를 라쉬분석을 활용하여 부적절한 문항을 확인하고 타당도를 검증하고자 하였다. 연구방법 : 안전운전행동체크리스트는 37문항으로 개발되었고 이 연구 참여한 대상자는 60세 이상 노인 운전자 의명21의1 원데이터를 활용하였다. 안전운전행동 체크리스트(자가보고식 노인 안전운전 측정도구)의 타당도 검증을 위해 라쉬분석을 사용하였고 Winsteps 프로그램을 통해 문항 적합성, 문항의 난이도, 평정척도의적합성을 검증하였다. 결과 : 탐색적 요인분석 결과 운전상황, 외부환경과 날씨, 주차, 일반적 운전상황 4개 요인으로 추출되었다. 라쉬 분석을 통해 1문항이 삭제되어 36문항이 적절하다고 분석되었다. 또한 문항의 난이도를 파악할 수 있었는데 문항 난이도 분석결과 가장 어려운 문항은 “눈길이나 빙판길에서 운전하기’, 가장 쉬운 문항은 “신호등 지키기”로 문항이었다. 결론 : 본 연구에서는 라쉬분석과 요인분석을 이용하여 안전운전행동 체크리스트의 타당도를 입증하였고 운전요인으로 4가지 요인을 확인하였다. 또 최종 문항의 난이도를 파악할 수 있었다. 향후 국내 상황에 적합한 운전 수행능력을 검증할 수 있는 다양한 평가와 중재가 개발되어 작업치료 임상현장에서 운전재활 기초자료로 활용되기를 기대한다.

목적 : 본 연구의 목적은 대학생 초보운전자의 심리적 요인과 안전운전행동의 관계를 알아보고자 함이다. 연구방법 : K대에 재학중인 대학생 초보운전자 30명의 자아존중감, 자기효능감, 행동억제 및 행동활성화 체계, 정적정서 및 부적정서, 불안, 우울 그리고 분노를 측정하고 안전운전행동의 관계를 살펴보기 위해 상관분석을 실시하였다. 운전수행자와 비운전자 집단간 비교를 위해서는 맨휘트니 검정을 실시하였다. 결과 : 심리적 요인과 안전운전행동의 관계를 살펴본 결과 자아존중감과 자기효능감 그리고 정적정서와 안전운전행동은 정적상관관계가 있고 행동억제체계와 불안과는 부적상관관계가 있었다. 또한 운전수행자와 비운전자의 심리적 요인 중 자기효능감과 정적정서, 우울에서 집단간 유의미한 차이가 있었다. 결론 : 본 연구를 통해 초보운전자의 심리적 요인이 안전운전행동에 영향을 미치고 있음을 확인하였으며 초보운전자의 심리적 요인에 보다 주목할 필요성을 시사하고 있다.

PURPOSES: The objective of this study was to analyze variations in the vehicle driving behavior characteristics on signalized intersections according to the use of traffic enforcement camera (red light camera). METHODS: In order to analyze the driving behavior characteristics on signalized intersections when red light camera are installed, the target sites for investigation were selected depending on whether the red light camera is installed and accident rates increased after the installation. In particular, to analyze the characteristics of dilemma zones in signalized intersections, approach speed and deceleration speed of 3 type vehicles (passing vehicles during a yellow light, stopping at a yellow light, passing vehicles during a green light) were examined. Based on these data, the starting point, ending point, and distance of the dilemma zones were calculated. Also, the locations of increased traffic accidents and decreased accidents after the installation of the equipment were distinguished when analyzing the traffic accident characteristics. RESULTS : Analysis results revealed that there was a tendency for the dilemma zone distance to decrease after the installation of equipment(red light camera) in most sites. This tendency was found to be due to the decrease in the approaching speed of vehicles at intersections after the installation of equipment, resulting in the starting and ending points of dilemma zone to become closer to the stop line. Moreover, analysis showed that the number of traffic accidents decreased for most intersections after the installation of equipment and safety of the intersections increased somewhat. CONCLUSIONS : In general, installation of equipment(red light camera) caused the intersections approaching speed and dilemma zone distance to decrease. Decision-making is difficult for drivers in the dilemma zone, so the decrease in the dilemma zone distance implies an improvement in traffic safety. Furthermore, the number of accidents within intersections significantly decreased after the equipment was installed, leading to the conclusion that installation of the equipment affected the decrease in traffic accidents.

PURPOSES : The use of virtual driving tests to determine actual road driving behavior is increasing. However, the results indicate a gap between real and virtual driving under same road conditions road based on ergonomic factors, such as anxiety and speed. In the future, the use of virtual driving tests is expected to increase. For this reason, the purpose of this study is to analyze the gap between real and virtual driving on same road conditions and to use a calibration formula to allow for higher reliability of virtual driving tests. METHODS : An intelligent driving recorder was used to capture real driving. A driving simulator was used to record virtual driving. Additionally, a virtual driving map was made with the UC-Win/Road software. We gathered data including geometric structure information, driving information, driver information, and road operation information for real driving and virtual driving on the same road conditions. In this study we investigated a range of gaps, driving speeds, and lateral positions, and introduced a calibration formula to the virtual record to achieve the same record as the real driving situation by applying the effects of the main causes of discrepancy between the two (driving speed and lateral position) using a linear regression model. RESULTS: In the virtual driving test, driving speed and lateral position were determined to be higher and bigger than in the real Driving test, respectively. Additionally, the virtual driving test reduces the concentration, anxiety, and reality when compared to the real driving test. The formula includes four variables to produce the calibration: tangent driving speed, curve driving speed, tangent lateral position, and curve lateral position. However, the tangent lateral position was excluded because it was not statistically significant . CONCLUSIONS: The results of analyzing the formula from MPB (mean prediction bias), MAD (mean absolute deviation) is after applying the formula to the virtual driving test, similar to the real driving test so that the formula works. Because this study was conducted on a national, two-way road, the road speed limit was 80 km/h, and the lane width was 3.0-3.5 m. It works in the same condition road restrictively.

운전자의 인적요인분석을 위한 기초자료를 제공하는 디지털 운행기록계에서는 GPS 속도, 방위각, RPM정보 등 극히 제한된 운행정보만을 기록하여 실제 운전자의 운전행태를 분석하는 데는 많은 한계가 있다. 또한, 현재 상업화가 활발히 이루어지고 있는 차량용 블랙박스는 운전자의 운전행동보다는 차량에 대한 위험사항을 기록하고 있는 방식으로서 운전자의 실제 운전행태를 분석하기에는 많은 문제점을 보이고 있다. 따라서 기존의 교통안전관련 연구들을 살펴보면 인적요인분석에 필요한 운전자의 위험운전분석이 극히 제한적으로 이루어져 있는 현실이다. 이에 본 연구에서는 사업용자동차의 위험운전유형과 각 운전유형을 결정하는 임계치를 이용하여 버스운전자의 운전행태를 분석하였다. 또한, 버스운전자에게 위험운전에 대해 단말기를 통해 실시간으로 경고정보를 자동 제공하여 실시간경고정보에 따른 효과분석을 실시하였다. 운전자들의 행태분석에 대한 해석은 차량의 가속도 센서와 회전 각속도 센서의 종방향 가속도(Ax), 횡방향 가속도(Ay), 회전 각속도(Yaw rate) 등에 대한 분석을 통해 이루어졌다.

The purpose of this study was to examine drivers’ driving behaviors and eye-movements according to driving speed and navigation-position while operation of the navigation in driving. For this purpose, two driving conditions (low-speed and high-speed) and

Using driving simulator, we analyzed the driving behavior of an older driver on intersection and measured the pychological load to HRV. As a results, older drivers started to enter the more complex intersection on a great distance and on low velocity for

The Manchester Driver Behavior Questionnaire (DBQ) is the most commonly used frameworks for investigating the relationship between self-reported driving behavior and accident involvement. After Reason et al. introduced DBQ, there were many studies replicating the research of Reason et al. in many countries. There was, however, no study replication of the Reason's research in Korea. The aim of this study is to replicate the distinction among errors, lapses and violations, and to evaluate the relationship of these behaviors with road traffic accidents on Korean drivers. 223 Korean drivers completed the Korean version of original DBQ with questions regarding background information, such as age, gender, annual mileage and accident involvement. Participants answered self-assessment questions, also. Factor analysis revealed three factors like Reason et al. The three factors were dangerous errors, violations and relatively harmless errors.