• International Journal of Highway Engineering
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• v.11 no.1
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• pp.37-45
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• 2009

The minimum distance between tunnel and interchange has several steps to go through for road users; when road user comes out of tunnel, he/she reads information on road sign and tries to change the lane, and then reaches the destination (interchange). So that's why that minimum distance between tunnel and interchange has to be designed to reflect human factors sufficiently for road's users. This study aims to set for minimum distance between tunnel and interchange with involved human factors. People aged from their twenties to their seventies took part in this experiment by using driving simulator. As a result, the minimum distance between them was loom long. When it comes to this study for minimum distance between tunnel and interchange, this study will be significant in some ways reason why this method can be applied to all road facilities for road safety on scientific basis. In the near future, It will make a recommendation concerning the most suitable data for road safety by contributing better guideline.

• Journal of Korean Society of Transportation
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• v.26 no.5
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• pp.195-204
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• 2008

When the drivers try to read an information on road signs, they can reach their destinations successfully. In this situation, human factors, road signs and geometric condition regarded as the most important factors for a safe driving should be a well-balanced relationship mutually. This research aims to prove the factors obstructing a safe driving, while drivers try to read an information on road signs for the next destination. For this sake, driving simulator was used and human factors, road signs etc. were considered in this experiment. The statistical analysis indicated what factors disturb a safe driving. The probability function using a Logistic Model was presented in this study. This result and experience will be used as a basic data in designing better road signs.

• Therapeutic Science for Rehabilitation
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• v.5 no.2
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• pp.35-47
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• 2016

Objective: The aim of this study was to identify the driving rehabilitation for on-road driving through a systematic review. Methods: We systematically examined papers published in journals from December 2014 to January 2015, using CINAH, Embase, Pubmed, PsycINFO, and The Cochrane Library. Eventually, 15 studies were included in the analyses. Results: The evidence of 15 studies was from levels I, III, and V. The subjects included in the analyses were patients with stroke(40.0%), older driver(20.0%), traumatic brain injury(20.0%), acquired brain injury(13.3%) and spinal cord injury(6.7%). The intervention types were driving simulator training(53.3%), cognitive skills training(26.6%), off-road educational training(6.7%), adaptation of assistive device(6.7%), and behind-the-wheel training(6.7%). The effects of driving rehabilitation were different depending on the types of intervention. However, driving simulator training showed significant improvement of on-road assessments in all studies included this study. Conclusions: Driving rehabilitation for on-road driving has been used in various types. Specially, the effect of the driving simulator training has been proved by many studies. Future studies are to be required with client from a range of diagnostic groups to establish evidence-based interventions and determine their effectiveness in improving on-road driving.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.5
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• pp.1-11
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• 2017

Expressway network which plays an important role on land transportation system, have been developing quantitatively and qualitatively with $7{\times}9$ structure. To cope with complex geometric condition, guidance lane marking has been installed to induce safer lane-changing maneuver. However, there is no standard on guidance lane marking and its effectiveness is also verified with limited scope. The major purpose of this research is to clarify its effectiveness in terms of driving safety aspect using virtual driving simulator and to suggest standard on the proper length. To carry this out, preference data from subjects was collected and lane-changing pattern within virtual driving environment was investigated. In addition, in order to quantify the level of comfort, Electroencephalogram data was collected and validated using statistical test. Finally, it is expected that this research can be used to establish standard on guidance lane marking.

• International Journal of Highway Engineering
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• v.13 no.1
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• pp.59-67
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• 2011

It can prevent traffic accidents in a way as taking precautionary measures for road safety at signalized intersection in advance. Particularly, traffic accidents can be reduced at relatively low cost without redesigning alignments. That is 'Positive Guidance method' which can help prevent traffic accidents through improvement of road facilities at signalized intersection. In this study, potentially higher hazardous signalized intersection due to speeding was selected through site investigation. Field analysis at designated section was conducted and devised a plan for improvements of road facilities. Subjects drove in driving simulator in 3-D virtual reality of designated intersection. Based on data from simulator, statistical analysis(t-verification) was conducted for 'Before and After effectiveness' of speed reduction. As a result, it indicates that speed reduction was effective after improvements at each spot in driving simulator. In the future, hazardous signalized intersections which can be applied for PG method will be effective for road safety based on this research.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.12
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• pp.507-516
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• 2019

Costs invested in road maintenance and road development are on the rise. However, due to accidents such as portholes and ground subsidence, the risks to the drivers' safety and the material damage caused by accidents are also increasing. Following this trend, we have developed a system that determines road damage, according to the magnitude of vibration generated without directly intervening the driver when driving. In this paper, we implemented the system using a remote control car (RC car) simulator due to the limitation of the environment in which the actual vehicle is not available in the process of developing the system. In addition, we attached a vibration sensor and GPS sensor to the body of the RC car simulator to measure the vibration value and location information generated by the movement of the vehicle in real-time while driving, and transmitting the corresponding data to the server. In this way, we implemented a system that allows external users to check the damage of roads and the maintenance of the repaired roads based on data more easily than the existing systems. By using this system, we can perform early prediction of road breakage and pattern prediction based on the data. Further, for the RC car simulator, commercialization will be possible by combining it with business in other fields that require flatness.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.44 no.1
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• pp.63-73
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• 2024

Autonomous vehicles at Levels 3 to 5, currently under global research and development, seek to replace the driver's perception, judgment, and control processes with various sensors integrated into the vehicle. This integration enables artificial intelligence to autonomously perform the majority of driving tasks. However, autonomous vehicles currently obtain temporary driving permits, allowing them to operate on roads if they meet minimum criteria for autonomous judgment abilities set by individual countries. When autonomous vehicles become more widespread in the future, it is anticipated that buyers may not have high confidence in the ability of these vehicles to avoid hazardous situations due to the limitations of temporary driving permits. In this study, we propose a method for grading the judgment abilities of autonomous vehicles based on a driving simulator experiment comparing and evaluating drivers' abilities to avoid hazardous situations. The goal is to derive evaluation criteria that allow for grading based on specific scenarios and to propose a framework for grading autonomous vehicles. Thirty adults (25 males and 5 females) participated in the driving simulator experiment. The analysis of the experimental results involved K-means cluster analysis and independent sample t-tests, confirming the possibility of classifying the judgment abilities of autonomous vehicles and the statistical significance of such classifications. Enhancing confidence in the risk-avoidance capabilities of autonomous vehicles in future hazardous situations could be a significant contribution of this research.

• Journal of Korean Society of Transportation
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• v.21 no.4
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• pp.91-101
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• 2003

This study modeled 4-lane highway in three-dimensional virtual reality in order to overcome difficulties of field experiment. and the research subject was placed in a driving simulator. We survey the driver's cognitive characteristics to the alignment changes in the three-dimensional virtual reality highway. Especially, maximizing the identity of driving movements and virtual scenery on the basis of the data obtained by dynamic analysis module. we minimized simulator sickness for the graphic module of driving simulator. And we carried out cognitive evaluation on the basis of adjective words extracted by dictionary and the opinion of specialist. In this study LISREL model was used to detect the causal relation between geometry and safety in cognitive side, and found that geometric change affects the safety of drivers by static and dynamic road safety model in three-dimensional combined alignments. As the result, for constructing safety road. we consider drivers' cognitive characteristics as human factors in road design, and we think that they are very important factors to improve road safety.

• Information and Communications Magazine
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• v.29 no.2
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• pp.39-45
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• 2012

V2X 차량 안전 시스템은 ITS 환경에서 주행하는 모든 차량들이 V2V 혹은 V2I 기반의 협력통신을 통해 안전 서비스를 제공하는 기술이다. 이는 실제 도로환경에서의 실험, 즉 Field Operational Tests(FOTs)를 통한 검증과 평가 수행이 요구된다. 그러나, 일반적으로 실 도로환경에서 시스템 및 서비스에 대한 검증과 평가는 많은 시간과 비용을 필요로 한다. 따라서 실제 도로 주행 테스트 전에 V2X 안전 서비스의 기본적인 성능을 검증할 V2X 시뮬레이션 방안이 필요하다. 본 논문에서는 국외의 V2X 시뮬레이터 기술 개발 동향과 함께 차량 간 통신 시뮬레이션 분야에서 연구되고 있는 주요 이슈들을 알아보고 이를 극복하기 위한 연구 방호별 제시한다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.3
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• pp.147-159
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• 2023

In order to make autonomous vehicles more trustworthy, it is necessary to focus on the users of autonomous vehicles. By evaluating the preferences for driving behaviors of autonomous vehicles, we aim to identify driving behaviors that increase the acceptance of users in autonomous vehicles. We implemented two driving behaviors, aggressive and cautious, in a driving simulator and allowed users to experience them. Biometric data was collected during the ride, and pre- and post-riding surveys were conducted. Subjects were categorized into two groups based on their driving habits and analyzed against the collected biometric data. Both aggressive and cautious driving subjects preferred the cautious driving behavior of autonomous vehicles.