• Proceedings of the KAIS Fall Conference
• /
• 2008.11a
• /
• pp.113-116
• /
• 2008

본 연구에서는 차량-교량간 상호작용효과가 교량의 동적거동에 미치는 영향을 분석하기 위한 차량 주행 하중에 대한 실험적 및 이론적 연구를 수행하였다. 이를 위하여 차량 교량간 상호작용이 포함된 이동질량형 윤하중 실험기를 단순교형식 교량에 적용하여 반복주행실험을 수행하였다. 이동질량 반복 주행실험 결과를 분석하여 차량-교량간의 상호작용을 포함한 가속도 형태의 실동주행차량가속도를 규명하였다. 규명된 차량의 실동주행차량가속도를 범용 해석프로그램에 적용하여 차량-교량 상호작용을 재현할 수 있었다. 또한 차량주행시 교량의 사용성평가에 대한 기본자료를 판단할 수 있었다.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.16 no.4
• /
• pp.107-121
• /
• 2017

This study conducted a 3-stage survey and simulation experiment to identify the impact of vehicle platoons on car-following behavior of manually-driven vehicles. Vehicle maneuvering data obtained from driving simulations was statistically analyzed based on three measures including average speed, acceleration noise, and offset to represent the deviation of lateral movements. Results indicate that MV drivers tended to have psychological burden while driving in automated vehicle platooning environments, which resulted in different vehicle maneuvers. It is expected that the outcome of this study would be useful fundamentals in developing various traffic operations strategies for managing mixed traffic stream consisting of MVs and autonomous vehicles.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.18 no.2
• /
• pp.114-128
• /
• 2019

Recently, the interest in the safety of autonomous vehicles has globally been increasing. Also, there is controversy over the reliability and safety about autonomous vehicle. In Korea, the K-City which is a test-bed for testing autonomous vehicles has been constructing. There is a need for test scenarios for autonomous vehicle test in terms of safety. The purpose of this study is to develop the evaluation scenario for autonomous vehicle at community roads in K-City by using crash data collected by the Korea National Police Agency and a text-mining technique. As a result, 24 scenarios were developed in order to test autonomous vehicle in community roads. Finally, the logical and concrete scenario forms were derived based on the Pegasus 5-layer format.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.22 no.6
• /
• pp.284-298
• /
• 2023

With the rapid advances in automated driving technology, opportunities to experience automated driving directly or indirectly are being provided to the public. On the other hand, research on the preferred automated driving patterns from the user's perspective has not been conducted in Korea. This study used a driving simulator and an experimental vehicle capable of automated driving to evaluate the user satisfaction regarding longitudinal and lateral accelerations. Automated driving patterns were implemented in a virtual environment simulation using five values of longitudinal and lateral accelerations derived from driving experiments. Among these values, three were implemented through experimental vehicle-based automated driving to evaluate satisfaction and anxiety. The participants evaluated lateral acceleration more sensitively than longitudinal acceleration and showed higher levels of anxiety. Based on these results, the necessity of user-oriented evaluation research for automated driving patterns and the suitability of simulator-based evaluation methods were presented.

• Proceedings of the KIEE Conference
• /
• 2004.07d
• /
• pp.2206-2208
• /
• 2004

본 논문에서는 자이로스코프를 이용한 자율이동로봇의 주행기록계에 대한 오차 보상을 제안한다. 자율이동로봇의 주행 시 주행기록계는 슬립과 마찰 등으로 인해 많은 방향각에 대해 오차를 포함하고 있어서 주행기록계에만 의존하여 주행하기 힘들다. 주행기록계가 슬립과, 회전에 대한 단점을 보안하기 위해 방향각에 대해 자이로스코프를 사용하여, 자이로스코프로부터 얻은 데이터와 주행기록계의 데이터를 융합하여 주행기록계의 오차누적에 의한 이동로봇의 방향각에 대한 비정확성을 보상하기 위한 알고리듬을 제안한다. 대부분의 주행 시 주행기록계의 값을 신뢰하고 자율이동로봇의 순간적인 각도변화에 대해서는 자이로스코프를 이용하였다. 이동로봇의 직진 주행 실험 결과 주행기록계만을 사용하여 주행했을 때는 방향각 오차가 크게 발생하였다. 그러나 주행기록계와 자이로스코프의 데이터를 융합하여 적용한 시스템의 성능이 주행기록계만 이용한 경우에 비해 보다 정확함을 실험을 통해 확인하였다. 이동로봇의 안정성 있는 경로 추종을 통해 이동로봇의 보다 넓은 영역에서의 작업이 기대된다.

• Journal of Advanced Marine Engineering and Technology
• /
• v.36 no.4
• /
• pp.430-436
• /
• 2012

This study was conducted to measure battery's voltage drop in a compact electric vehicle to get driving performance in various driving situations. In the experiment, to evaluate the energy consumption and milage, system performance have measured with changing of the driving speed and the reduction of driving distance when the heater was operating. The battery of the car in this study is lead type storage battery. The driving velocity was changed from 10km/h to 50 km/h with 20km/h intervals and the operating step of the heating device. As results, the electronic consumption rate was maximum at 35 km/h of vehicle speed and if the driver turning the heater at maximum, capacity will lead to 35% of energy consumption increment.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.26 no.2
• /
• pp.105-112
• /
• 2016

This paper presents the experimental setup for autonomous navigation of a robotic vehicle for touring university campus. The robotic vehicle is developed for navigation of specific areas such as university campus or play parks. The robotic vehicle can carry two passengers to travel short distances. For the robotic vehicle to navigate autonomously the specific distance from the main gate to the administrative building in the university, the experimental setup for SLAM is presented. As an initial step, a simple method of following the line detected by a single camera is implemented for the partial area. The central line on the pavement colored with two kinds, red and yellow, is detected by image processing, and the robotic vehicle is commanded to follow the line. Experimental studies are conducted to demonstrate the performance of navigation as a possible touring vehicle.

• Journal of the Korean Society for Railway
• /
• v.14 no.2
• /
• pp.137-142
• /
• 2011

A bimodal tram is a new design vehicle introduced to improve a current transportation system, and it has advantages of a bus and a subway. A pipe truss bridge, an exclusive road of the bimodal tram, is constructed for introduction of the bimodal tram. An analysis of dynamic response characteristics is required because this new bridge has never constructed before. A speed increasing test on the pipe truss bridge was conducted with attaching a sensor to bottom of the bridge. Also, Dynamic response characteristics were analyzed by measuring displacements, the maximum vertical and horizontal acceleration about the new bridge through the experiment.

• Proceedings of the Korean Society for Agricultural Machinery Conference
• /
• 2017.04a
• /
• pp.14-14
• /
• 2017

본 연구는 트랙터 주행노면의 토양 특성이 트랙터 승차진동에 미치는 영향을 분석하는 것을 목표로 하였다. 여러 토양조건에서 실제 트랙터 주행실험을 진행하는 것은 어렵기 때문에, 상용 CAE 프로그램을 이용하여 트랙터를 모델링하고 시뮬레이션을 진행하였다. 이를 통해 여러 토양조건에 따른 승차진동의 특성을 비교, 분석하였다. 모델의 유의성은 트랙터 아스팔트 주행실험을 통해 진동데이터를 획득하고 실측 진동 데이터와 시뮬레이션을 통해 얻어진 진동 데이터를 분석해 검토하였다. 이 때, 노면 토양의 특성에 따라서 트랙터가 장애물을 만났을 때 순간적인 진동 특성을 분석하기 위해서 트랙터 주행 노면을 사인범퍼(sine-bumper) 노면으로 설정하고 주행실험 및 시뮬레이션을 진행하였다. 본 연구에서는 강체 노면, Heavy clay, North Gower Clay Loam 토양, Grenvile Loam 토양의 네 가지 노면 조건을 분석하였다. 분석 결과 침하가 발생하지 않는 강체 노면보다 침하가 발생하는 세 가지 토양 조건에서 장애물에 따른 순간적인 진동이 더 크게 나타나는 것을 확인할 수 있었다. 다만 승차진동이 토양 파라미터와 단순히 선형적인 관계만을 보이는 것은 아니라는 것도 확인할 수 있었다. 이 후, North Gower Clay Loam 토양 조건에서 트랙터 속도에 따른 시뮬레이션 진행 결과를 분석하였을 때, 토양 침하가 발생하는 토양 조건에서도 속도가 증가함에 따라서 진동 크기가 증가하는 것을 확인할 수 있었다.

• Tunnel and Underground Space
• /
• v.32 no.3
• /
• pp.231-242
• /
• 2022

In this study, we developed a robot operating system (ROS)-based autonomous driving robot that estimates the robot's position in underground mines and drives and returns through multiple waypoints. Autonomous driving robots utilize SLAM (Simultaneous Localization And Mapping) technology to generate global maps of driving routes in advance. Thereafter, the shape of the wall measured through the LiDAR sensor and the global map are matched, and the data are fused through the AMCL (Adaptive Monte Carlo Localization) technique to correct the robot's position. In addition, it recognizes and avoids obstacles ahead through the LiDAR sensor. Using the developed autonomous driving robot, experiments were conducted on indoor experimental sites that simulated the underground mine site. As a result, it was confirmed that the autonomous driving robot sequentially drives through the multiple waypoints, avoids obstacles, and returns stably.