• International Journal of Highway Engineering
• /
• v.13 no.2
• /
• pp.57-65
• /
• 2011

In this study, estimated the minimum lane width for the curved section by analyzing of lateral sway distance and compared the lane width for result of this study and a precedent study for straight section on urban roads. Then suggested minimum lane width of road alignments and vehicle classes. The lane width of curved section that was investigated was 2.79m~3.40m. Analysis of frequency distribute and cumulative frequency distribution for lateral sway distance on the basis of 85% of the suggested vehicles. The result of study, minimum lane width for the curved section was 2.31m~2.58m in the case of small size car and 2.80m~3.27m in the case of large size car. Result of this study is judged that it is necessary to case for introduction of green transit, during road construction and construct a road for small size car. Expect result of this study can be used for the application of flexible design standard according the purpose of road designer.

• Proceedings of the KAIS Fall Conference
• /
• 2009.12a
• /
• pp.695-698
• /
• 2009

오늘날 네비게이션 시스템이 대부분의 차량에 필수장비가 될 정도로 GPS는 우리도 모르게 많이 사용되고 있고 많은 연구가 진행되어 있다. 그러나 대부분 차량용 네비게이션은 도로의 정보를 통하여 GPS의 불확실한 정보를 보정하게 되지만 도로정보를 참조할 수 없는 해상이나 공중에서 사용하기 위해서는 보정이 어려운 것이 사실이다. 본 논문에서는 이동로봇에 대하여 일반 도로가 아닌 개활지에서의 자율주행을 목표로 한 시스템을 개발하였다. 연구내용으로는 NXT 로봇과 Compass Sensor, 그리고 Bluetooth GPS를 이용하여 도로의 정보가 없이 로봇의 위치를 보정하였고, 목표점까지의 거리와 각도를 계산한 후 자율 주행이 가능하도록 LabView로 프로그래밍 하였다. 결과적으로 NXT 로봇의 목표지점간 최적이동 알고리즘을 구현하였고 실험을 통하여 이를 증명하였다.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.33 no.5
• /
• pp.2049-2056
• /
• 2013

With the advance in information communication, the information age has come, and desire of human being in increasing. In this circumstance, the necessity for design for building of superhighways is arising to improve the mobility in the field of transportation, too. This study was conducted to analyze if driver can drive at a design speed on a superhighway with a design speed exceeding 120km/h. For this study, it was experimented if the running speed that makes a driver feel anxious, increased, when road alignment and standard improved, due to the differences of design speed. For the experiment, 30 subjects were asked to attach brain wave analyzers to bodies. Then, this study compared powers of ${\beta}$ waves generated, when they felt anxious, driving on the roads with different design speeds, and driving virtually through a simulator. Here, Kangbyeonbukro (90km/h), Jayuro(100km/h), Joongang Expressway(110km/h), and Seohaean Expressway(120km/h) were selected as experimental sections. While drivers drove on the Kangbyeonbukro and Jayuro at a speed of 80km/h - 130km/h, on the Joongang Expressway at a speed of 100km/h - 150km/h, and Seohaean Expressway at a speed of 110km/h - 180km/h, powers of anxiety EEGs(electroencephalogram) were compared, and during the simulation driving at the same speed of 110km/h - 180km/h, powers of anxiety EEGs were compared and analyzed. Moreover, the speed when anxiety EEGs increased, was statistically verified through paired t-test. As the result, the speed when anxiety EEGs increased during the simulation driving was nearly 30km/h higher than when they increased during the actual driving on the expressways, and anxiety EEGs increased at the same speed, when subjects drove on the roads with a design speed of 90km/h and 100km/h. It means that there were small differences in road alignment and standard. However, the running speed to make drivers feel anxious was increased at both roads with a design speed of 110km/h and 120km/h. It implies that drivers can drive at a higher speed, as road alignment and standard improve.

• 한국도로학회지:도로
• /
• v.20 no.2
• /
• pp.27-32
• /
• 2018

• 한국도로학회지:도로
• /
• v.18 no.2
• /
• pp.23-29
• /
• 2016

• 한국방재학회:학술대회논문집
• /
• 2010.02a
• /
• pp.45.1-45.1
• /
• 2010

포장도로의 노화로 인해 도로 표면의 평탄성이 높아지면 차량 주행 시 연료소모량이 증가하는 것으로 알려져 있다. 본 연구에서는 소형/중형/대형의 3개 승용차량에 대해 3가지 평탄도의 도로에서 40~100km/h 의 정속주행 연료소모량을 측정하여 도로 평탄성의 변화에 따른 연료소모량의 변화율을 계산할 수 있었다. 시험결과, 평탄성 증가에 따라 연료소모량이 직선적으로 증가하였으며, 평탄성에 대한 l차 직선방정식으로 연료소모량을 표현할 수 있었다. 평탄성 1m/km 증가 시 연료소모량은 약 80mL/100km 정도의 비율로 증가함을 알 수 있었다. 추후 본 시험의 결과를 이용하여 도로 노화에 따른 연료소모량 증가의 정도를 추정하여 다양한 도로 복구 작업 등에 이용하여 도로에서 발생할 수 있는 사고 예방 등에 활용할 수 있을 것으로 판단된다.

• International Journal of Highway Engineering
• /
• v.13 no.1
• /
• pp.149-156
• /
• 2011

Considerable evaluation is needed to design a new longitudinal tunnel in advance because it damaged drivers' driving safety and heightened the possibility of traffic accidents with its physical characteristics. Specifically, considering traffic psychological and ergonomic factors was very important to prevent the difficulty of maintaining safe speed, the increase of the drowsy driving, the fatality of traffic accidents, and subjective feelings such as anxiety while driving a car through the tunnel, from design to construction. This study dealt with driving safety evaluation of an original road alignment design for the longitudinal tunnel (length: above 10km) with a driving simulator, and helped us to improve an original road alignment design and make an alternative road alignment design with presenting risky districts. The results of experiment showed that inflection points were revealed more risky districts, because they impaired driving safety and elevated driver workload while driving a car through around the inflection points of two-way route. Finally, the limitations and implications of this study were discussed.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.16 no.3
• /
• pp.1-14
• /
• 2017

Recently, the automobile industry is rapidly changing due to autonomous vehicles based on advanced ICT technology. As a result, studies related to autonomous vehicles have also been actively conducted. However, most studies are focusing on the autonomous driving technology so that the prediction of changes in road traffic safety and associated legal system due to the introduction of autonomous vehicles are lacking. The purpose of this study is to suggest improvement methods and priorities of road traffic safety projects according to the introduction of autonomous vehicles. As a result of the AHP analysis using the results of the questionnaire surveyed for autonomous driving car experts, it was analyzed that revision of the traffic safety inspection law and development of education system for autonomous driving motor drivers and operators should be given top priority.

• Journal of the Korea Convergence Society
• /
• v.10 no.11
• /
• pp.327-333
• /
• 2019

The Fuel-cut driving is started when the acceleration pedal released with transmission gear engaged. Fuel economy of the vehicle improves by active fuel-cut driving. A deep-learning technique is proposed to predict fuel-cut driving with vehicle speed, acceleration and road gradient data in the study. It's 3~10 of hidden layers and 10~20 of variables and is applied to the 9600 data obtained in the test driving of a vehicle in the road of 12km. Its accuracy is about 84.5% with 10 variables, 7 hidden layers and Relu as activation function. Its error is regarded from the fact that the change rate of input data is higher than the rate of fuel consumption data. Therefore the accuracy can be better by the normalizing process of input data. It's unnecessary to get the signal of vehicle injector or OBD, and a deep-learning technique applied to the data to be got easily, like GPS. It can contribute to eco-drive for the computing time small.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.22 no.2
• /
• pp.147-163
• /
• 2023

Recently, there has been an increase in the research and development of automated vehicles worldwide. Research focused on automated vehicles in Korea is steadily progressing as a national R&D project. Since automated driving technology comprises diverse technology fields, it is necessary to identify the current position of the research. In this study, we propose a methodology for analyzing research trends using the NTIS data. In addition, we review the effectiveness of the currently developed research trend methodology by deriving primary keywords and major topics using the proposed method. We expect that the methodology developed in this study can be applied to identify and analyze future automated vehicle research trends.