PURPOSES : Evaluation of the effectiveness of changing the form of yellow carpet installation as a way to reduce child pedestrian traffic accidents. METHODS : Through expert opinion, two improvement plans for yellow carpet installation (oblique type, extended type) were derived. The improvement paln was built in virtual reality, and a virtual driving experiment was performed using a driving simulator and eye-trakcing device. The improvement effects of the two alternatives were evaluated by analyzing eye-tracking data and driving behavior. RESULTS : In the case of the oblique type, it was analyzed that it was effective in improving the total gaze time and first gaze position compared to the normal type. In the case of the extended type, it was analyzed that the workload during operation can be reduced. However, neither of them had a significant effect on driving behavior. CONCLUSIONS : Although the change in the yellow carpet installation type did not affect the driver's driving behavior, it had advantages in terms of visual behavior and workload while driving, so it can be considered as an alternative among measures to improve traffic accidents involving children and pedestrians.

목적 : 본 연구는 시뮬레이터 훈련이 척수손상 환자의 운전시뮬레이터 도로 주행시간과 주행조작 능력에 미치는 영향을 알아보고자 하였다. 연구방법 : 본 연구는 단일사례실험연구 AB설계로 진행되었으며, 기초선 3회기, 중재기 10회기를 적용하였다. 기초선 3회, 중재기 5회 도로주행코스(중급) 수행 시 운전시간, 주행조작 능력 자료가 수집되었으며, 연구결과 분석을 위하여 시각적 분석 방법과 평균 ±2*표준 편차를 사용한 양적 분석을 동시에 사용하였다. 결과 : 연구대상자 3명의 총 주행시간은 기초선 A보다 중재기 B에서 3분 내외의 감소하였고, 세 명 모두에서 통계학적으 로 의미있는 주행 능력의 향상이 확인되었다. 주행조작능력 또한 오류 점수가 감소하였고, 첫 번째 참여자와 세 번째 참 여자의 경우 그 변화가 통계학적으로 유의하였다. 결론 : 본 연구에서 연구대상자의 총 주행시간 및 수행 오류의 감소가 확인되어 운전시뮬레이터 훈련의 효과가 있었다. 이 와 같은 결과는 운전시뮬레이터 훈련의 적용 가능성을 뒷받침 한다.

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 : 국내·외에서 보고된 뇌졸중 환자 대상의 운전 시뮬레이터 훈련 연구의 체계적 고찰을 통해 연구 경향과 대상자 특성, 사용 방법 및 시뮬레이터를 통한 중재의 효과성에 대해 알아보고자 한다. 연구방법 : RISS, PubMed 등의 데이터베이스를 이용하여 선정 기준에 부합하는 5편의 국내·외 연구를 검색하였 다. 분석 대상 연구들은 연구의 근거 기반 질적 수준 분석 모델에 따라 분류하였고, 임상적 분석 방법인 P.I.C.O 방법에 따라 분석하여 정리하였다. 결과 : 고찰한 연구는 총 5개로 근거 수준은 I, IV였다. 연구 대상자는 뇌졸중 환자로 운전 시뮬레이터 훈련 중재 를 통해 운전 기능 향상의 효과를 살펴보았으며, 중재 결과 다양한 영역에서의 향상이 보고되었음을 확인할 수 있었고, 1편의 논문을 제외한 4편의 논문에서 운전 기능의 유의미한 향상을 보고하였다. 결론 : 시뮬레이터를 이용한 중재는 많은 연구를 통해 효과가 입증되고 있었다. 추후 연구 대상자를 더욱 다양하 게 하여 도로 주행 능력 및 다양한 영역에서의 기능 향상을 위한 운전재활 연구가 지속적으로 이루어져야 할 것이다.

자율주행 시물레이터는 자율 주행을 시험하고 검증하는 일에 있어 현실에 비해 높은 비용 절감의 효과를 가 지고 오지만 높은 컴퓨터 연산량에 의해 많은 하드웨어 기기를 요구하게 된다. 게임을 이용하여 자율 주행에 필요한 학습 데이터를 획득하는 경우도 있다. 게임은 저비용 시뮬레이터로 활용되고 있지만 게임 외적인 특정 상황을 모의하기에도, 필요한 데이터 획득에도 제한적이다. 또 다른 방법으로 게임 엔진을 통한 가상 환경 모 의 연구가 수행되고 있다. 하지만 게임 엔진에서는 사용자가 직접 필요한 모델링을 해줘야 하기 때문에 개발 비용이 크게 작용된다. 특히, 3D LIDAR는 360도로 Ray를 쏴서 정밀 거리를 최소 10Hz 이내의 실시간 획득이 필요하다. 실시간으로 3D LIDAR 데이터를 획득하는 것은 GPU(Graphics Processing Unit) 사용량이 많은 작업 이기 때문에, 저비용 시뮬레이터를 위해서는 저비용 3D LIDAR 모의가 필요하다. 본 논문에서는 낮은 컴퓨터 연산을 사용하는 C++ 기반 3D LIDAR 모의 프레임 워크를 제안한다. 제안된 3D LIDAR는 다수의 언덕으로 이 루어진 비포장 Map에서 성능을 검증 하였으며, 성능 검증을 의해 본 논문에서 생성된 3D LIDAR로 간단한 LPP(Local Path Planning) 생성 방법도 소개한다. 제안된 3D LIDAR 프레임 워크는 저비용 실시간 모의가 필요 한 자율 주행 분야에 적극 활용되길 바란다.

본 논문은 고령운전자의 운전 면허증 자진 반납을 유도하기 위하여 운전 시뮬레이터를 활용한 안전 운전 수행능력 평가 콘텐츠를 제안하고자 한다. 사용빈도가 많은 학술 데이터베이스에서 운전 시뮬레이터를 사용한 고령운전자 대상의 운전 능력을 평가하는 관련 문헌들을 검색한 후, 텍스트 네트워크를 사용하여 주행에 관련된 키워드들 간 연결중심성, 근접중심성, 매개중심성을 분석하였다. 이에 대한 결과로 도로유형 별 주행에서는 2차선과 4차선의 고속도로에서 연결중심성, 고속도로와 교차로에서는 매개중심성이 높게 나타났다. 그리고 주행상황 별 평가내용 키워드 분석 결과 에서는 연결중심성이 ‘좌회전’, ‘무단횡단’, ‘정체된 차량 회피’ 등에서 높게 나타났으며, 매개중심성에 서는 ‘좌회전’이 가장 많이 사용되는 평가내용으로 나타났다. 하지만 도로유형별 주행상황과 이에 대한 평가내용에 대한 근접중심성이 매우 유사하게 나타난 것은 각각의 실험 설계가 서로 비슷하다는 것을 의미한다.

PURPOSES : In this study, a virtual driving simulator was used to analyze the effects of implementing appropriate highway driving criteria on the attentiveness of motorists on Korean highways. METHODS : The study includes three scenarios. Scenario 1 was purposed to investigate the relationships between driver focus, the brain waves associated with drowsiness, and the speed of motorists driving along the straight 5-km section of Saemangeum South-North Road, which is the same as a car-only road. Scenarios 2 and 3 were designed to have shorter straight sections to enable comparison of the occurrence of drowsiness-related brain waves and velocity changes at 3 km and 2 km, respectively. RESULTS : Driver focus was found to decrease and result in speeding after driving 2.5 km of the straight section. Past this point, driver focus continued to decrease, and drivers continued to accelerate. However, upon reaching a curved section, driver focus increased according to the linear change; furthermore, drivers showed a tendency to reduce their speed to a value near the speed limit. CONCLUSIONS : According to the analysis of highway traffic accidents that occurred between 2013 and 2015, approximately 50% of total traffic accidents are due to speeding, drowsiness, and negligence. Therefore, if appropriately long straight sections, i.e., sections that are not associated with a reduced ability to focus, are calculated and implemented in road planning and operation, it is possible to prevent accidents caused by lack of driver focus.

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.

연구목적 : 본 연구의 목적은 뇌졸중 환자에게 운전 시뮬레이터와 Dynavision 훈련의 효과를 인지 평가와 주행 중 운전수행 능력 평가를 통해 비교하고, 두 가지 훈련방법의 차이에 대한 임상적 근거를 제시하는 것이다. 연구방법 : 본 연구를 위해 뇌졸중 환자 21명을 선정하여 무작위로 운전 시뮬레이터 훈련 집단(N=11)과 Dynavision 훈련 집단(N=10)으로 분류하고 각각 15회기의 훈련을 실시하였다. 대상자들의 주행 중 운전수행 능력 측정을 위해 운전 시뮬레이터 시나리오 시스템 평가를 실시하였고, 인지 능력을 측정하기 위해 DriveABLE Cognitive Assessment Tool(DCAT), Trail Making Test-A, Trail Making Test-B 그리고 Mini Mental State Examination-K 평가를 실시하였다. 결과 : 운전 시뮬레이터 훈련 집단은 모든 인지 능력평가와 대부분 운전수행 능력에서 통계적으로 유의미한 향상이 확인되었다. Dynavision 훈련 집단은 Trail Making Test-A를 제외한 모든 인지 능력 평가와 브레이크 페달 반응시간, 중앙선 침범 평균 시간 및 비율, 차선이탈 비율의 운전수행 능력에서 통계적으로 유의미하게 향상 되었다. 그리고 두 가지 훈련의 변화량은 도로주행평가의 결과 예측 지수와, 충돌사고 및 위험상황 발생 횟수에서 유의미한 차이를 보였으며, 이 변수들의 변화량은 두 가지 훈련방법의 적용 차이에 따라 모든 변수가 20% 이상의 인과적 영향력이 있음이 확인되었다. 결론 : 뇌졸중 환자의 운전훈련 방법으로 운전 시뮬레이터와 Dynavision 훈련은 모두 효과적인 중재방법임을 확인하였다. 특히 운전 시뮬레이터는 뇌졸중 환자의 운전수행 능력 전반을 향상시킬 수 있는 효과적인 훈련이며, Dynavision 훈련과는 20%의 설명력으로 훈련효과의 차이가 확인되었다.

목적 : 시력 문제를 가지고 있는 사람의운전 위험성을 확인하고자 노인성 안과질환별 저시력 조건에서의운전 수행 능력을 측정하는 연구를 진행하였다. 연구방법 : 본 연구는 운전면허를 소지하고 있으며 운전 경험이 6개월 이상인 20세 이상의 성인 15명을 대상으로 하였다. 저시력 안경을 착용한 질환별 저시력 조건에서 운전 시뮬레이터를 이용하여 운전 수행 능력의차이를 비교하였다. 운전 수행 과정은 운전 시뮬레이터 내에 있는 시나리오 중 실제 도로 교통 상황과 가장 유사한 대도시 주행(Metro Drive)을 이용하여 약 1시간 동안 운전 과제를 수행하였다. 결과 : 백내장, 당뇨성 망막변성, 녹내장의저 시력 조건과 정상시야의운전 수행 능력 개별 항목에서 유의한 차이를 확인할 수 없었다(p＞.05). 결론 : 연구 결과 녹내장, 당뇨성 망막변성, 백내장이 가지는 저시력 조건과 정상시야의운전 수행 능력 차이는 통계학적으로 유의하지 않았으나 질환별 조건의운전 수행 능력의 평균 점수에서 차이가 있었다. 이러한 결과는 저시력 조건이 운전과제수행에 영향을 미칠 수 있다는 것을 알 수 있으며 저시력이 운전 위험성과 관련한 요인 일 수 있다는 것을 보여주고 있다. 추후 연구에서는 모집 표본의수를 늘리고 실제 저시력을 가진 노인을 대상으로 연구가 진행되어야 할 것이다.

Speeding is one of the principal causes of traffic accidents that harm not only the safety of pedestrians but also the driver himself and others. However, empirical studies on speeding behavior are mostly survey research and identification of cause-and-effect relationship is unclear. Also the reliability of the study results cannot be verified using retrospective methods. To complement this point, it is important to conduct an experimental study, but realworld field research using real vehicles is almost impossible to apply equally to all subjects by controlling surrounding vehicles and signal systems. Therefore, in this study, we compared the overspeed characteristics of high risk driver types using driving simulator. The high risk driver types were divided in to four types: elderly driver, commercial driver, driver with more than 10 years of driving experience, and driver within 2 years of license acquisition. The overspeed characteristics were identified by using an index called Accumulated Speeding (AS). Based on overspeed characteristics differences between driver types, it is expected that additional education by driver type will be possible in the safety education using Driving Simulator.

In this study, eye movements of drivers on expressway ramps were comprehensively investigated using raw data from driving simulator and eye tracker(MyGaze) deducted though the previous study. Based on the literature review, several parameters including number of fixations, fixation time, horizontal & vertical eye movements, and gaze position were selected. With them, eye movements of older drivers and young drivers were compared and investigated. Average fixation time of older drivers is shorter and tend to focus more on the inside road edge for both left and right turning ramps comparing young drivers. Also, they tend to look wider at right turning ramp. All driver’s fixation points were spread along the inside road edge for both left and right turning ramps. Currently, road delineating facilities are installed on the side where centrifugal force is applied. However, considering the result, it should be installed where centripetal force is applied. In addition, road line marking management should be more taken care of. For future study, vehicle’s speed is also in need of consideration with eye movement.

Hard Shoulder Running is one of the ways to handle road traffic by installing LCS signals on the shoulder, making use of the shoulder as a straight road during rush hour, and thereby increasing the capacity of the road in the short term. Since it was first introduced on Youngdong Expressway in September 2007, it has been implemented in 32 highway sections and has improved the speed of traffic. The Seoul-Chuncheon Expressway, which is a private investment toll road, introduced Hard Shoulder Running only for some sections in 2014, but due to the geomorphic characteristics of the lanes with many tunnel sections, It did not perform the function of Hard Shoulder Running. Therefore, they are considering expanding the tunnel section of Hard Shoulder Running, and it is necessary to examine the safety of the tunnel part to implement this. The purpose of this study is to investigate the effect of the change of geometry, such as reduction of lane width in tunnels, and the installation of various guiding facilities, on the safety of tunnels by applying a driving simulator. Virtual reality data were constructed at 3.25m and 3.0m respectively in the tunnel section of the Seongjong Tunnel of Seoul-Chuncheon Expressway and Geumnam Tunnel to determine the feasibility of Hard Shoulder Running and appropriate speed and lane width. EEG was used for analysis. The test subjects were 15 young drivers / 15 old drivers. Analysis items were classified into four categories: driving speed, steering wheel operation, lateral placement of vehicle, and driver's psychological factors. As a result of analysis of the experimental results, it was confirmed that the allowance width of outer wall and m of tunnels was secured, and the lane width of 3.0 m was stable in terms of driver driving behavior, and operation speed was lower than 50 km/h.

PURPOSES : This study analyzed the difference in a driver’s workload between using a driving simulator and field driving in tunnel, highway.METHODS: Based on the literature review, it was found that a driver’s workload could be quantified using biosignals. This study analyzed the biosignal data of 30 participants using data collected while they were using a driving simulator and during a field test involving tunnel driving. Relative energy parameter was used for biosignal analysis.RESULTS : The driver’s workload was different between the driving simulator and field driving in tunnels, highway. Compared with the driving simulator test, the driver’s workload exhibited high value in field driving. This result was significant at the 0.05 level. The same result was observed before the tunnel entrance section and 200 m after the entrance section.CONCLUSIONS: This study demonstrates the driving simulator effect that drivers feel safer and more comfortable using a driving simulator than during a field test. Future studies should be designed considering the result of this study, age, type of simulator, study site and so on.

PURPOSES: Traffic safety facilities are used to prevent traffic accidents before they occur by providing drivers with information on traffic situations and the geometric design of roads. However, some facilities not defined in guidelines do not meet installation criteria, yet are being installed and used in order to increase efficiency in traffic flow and prevent traffic accidents in a specific expressway zone. In this study, we have evaluated the effect of delineation system which are not defined in the guideline criteria. METHODS : Different virtual scenarios were created for roads using expressway median barrier chevron signs, with a driving simulator used to evaluate the installation and operational effect of such signs. Ten experiments were performed with left- and right-curved roads at curve radius intervals of 500 m, from 500 m to 2,500 m. RESULTS: For sections with a curve radius of more than 1,500 m, drivers had a clear tendency toward stable driving regardless of delineation system. When a chevron sign is installed on a protection fence in the road curving left, an expanded installation is recommended up to the section with a curve radius of 1,000 m. According to the analysis results for the RHB (Relative High Beta spectrum), driving concentration also improved up to a curve radius of 1,000 m. CONCLUSIONS: The experiment result indicates the extent of biasing within a lane and the manipulation amount of steering handle, were analyzed and found to be affected by curve radius and road alignment regardless of delineation system.

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.

PURPOSES: This study devotes its energies to estimate greenhouse gas emissions for types of horizontal highway designs. METHODS: This paper suggested two types of road scenarios, scenario 1 is made by the lack of road design consistency. Beside scenario 1, scenario 2 is made by good road design. For comparisons of greenhouse gas emissions, driving simulator was used. RESULTS: Emission rates of road scenario 1 are 1.4 times higher than scenario 2 in the driving simulator. CONCLUSIONS : This study may have important implications for contributing to the application of road alignment technology for reduction of greenhouse gases as quantifying the correlations between greenhouse emissions and various road alignments. Consequently, this study will help road designers determine which roads are best alternatives in the process of choosing the roads in the future in terms of environmental benefits.