• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.299-302
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• 2009

이 논문에서는 라인 트레이스 차량의 주행 제어를 위한 퍼지 제어기를 설계하였다. 라인을 감지하는 센서들의 감지 상태에 따라 센서값을 산출하고 이 센서값은 조향각 제어 퍼지 규칙의 입력으로 사용되어 조향각을 제어값으로 산출한다. 또한 산출된 조향각은 다시 모터속력 제어 퍼지 규칙의 입력으로 사용되어 주행 속도 결정을 위한 모터속력을 제어값으로 산출하게 된다. 제안한 퍼지 제어 기법을 이용하여 조향각만을 제어한 경우와 조향각과 모터속력을 함께 제어한 경우를 각각 실험한 결과, 모터속력을 함께 제어한 경우가 트랙을 이탈하지 않으면서 더욱 빠르게 주행함으로써 제안한 기법에 효과적임을 보였다.

• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.458-459
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• 2008

이 논문은 자기부상열차 속력에 따른 부상제어기 성능을 분석한다. 현재 실용화 사업은 시속 110km/h 속력으로 부상공극 8 mm 기준으로 상하 3 mm 이하 변화를 목표로 개발 중에 있다. 부상제어기의 안정성에 영향을 미치는 외란으로는 가이드웨어 처짐, 크로스아암에 의한 레일 처짐, 레일 불균일, 레일 연결부 단차 등이 있다. 이러한 외란이 복합적으로 작용하지만, 설계 단계에서 각각의 영향을 단순화하여 독립적으로 그 영향을 분석할 필요가 있다. 본 논문에서는 차량속력에 따른 가이드웨어 처짐이 부상제어기에 미치는 영향을 분석한다. 하나의 전자석과 유연레일을 모델링하고 상태궤환을 갖는 제어기를 제안하여 속력에 따른 부상공극 변화를 관찰한다. 모의시험 결과 12 mm 레일의 휘어짐 상황에서 속력에 따라 부상 공극 변화가 커지지만, 실용화 사업의 목표를 달성함을 알 수 있었다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.11
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• pp.2289-2294
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• 2009

In this paper, we proposed a fuzzy controller for racing of a line trace vehicle. Sensor values are computed by statuses of line detecting sensors attached to the line trace vehicle and these sensor values are used for fuzzy inference rules of steering angle control to decide steering angle as output. The decided steering angle is also used for fuzzy inference rules of motor speed control to decide motor speed as output. We experimented and analyzed two proposed methods - one is fuzzy control of steering angle only and the other is fuzzy control of both steering angle and motor speed. In the experiment, we verified that the second proposed method was more efficient in racing speed.

• Journal of Korean Society of Environmental Engineers
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• v.28 no.12
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• pp.1293-1303
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• 2006

This paper represents a comparison the difference between existence and nonexistence of soundproof trees for road traffic noise. Also we suggested that the simple equation has been derived using a single regression analysis for predicting levels of $Leq_{th}$ at a given distance from a road in terms of the flow rate, the mean speed of the traffic, and the percentage of the type vehicles in the existence and nonexistence of soundproof trees. We classified a vehicle into four and analyzed contribution rate to traffic volume. As a result, the order showed as followed: light vehicle>medium vehicle>heavy vehicle>motorcycle. However, the results of analyzing contribution rate with between traffic volume and traffic noise by the each type showed as followed; Motorcycle>Light vehicle>Medium vehicle>Heavy vehicle. This study showed that the most a lof of traffic volumes of the three vehicles(light vehicle, medium vehicle and motorcycle) and heavy vehicle were existed in 67 km/h and 61 km/h of car speed, respectively. The total traffic noise to the mean car speed decreased because of the inflow a lot of traffic volumes between 2016 and 2388 in the range of 67 km/h of light vehicle speed, in traffic composition of 4.75% heavy vehicles, and 1.11% motorcycle. the final result for this study showed that statistical paired t-test for between existence and nonexistence of soundproof trees was significant(p<0.05) and the difference between daytime and night in the location of the nonexistence of plant communities with the independent sample T-test was significant(p<0.05). However, the independent sample T-test for analyzing the variance of traffic noise between daytime and night was not significant(p>0.05).

• Proceedings of the KAIS Fall Conference
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• 2010.11a
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• pp.386-389
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• 2010

물류정보 시스템은 차량경로의 효과적인 해를 찾기 위한 시스템이다. 효율성을 고려한 시스템은 최대 속력, 최단 거리를 고려하였지만 현실에서 교통상황에 따라 오차가 발생할 수 있다. 따라서 물류시스템에 실시간 교통상황 반영하여 그 방법을 모색하고자 한다. 본 논문은 물류운송 정보의 실시간 모니터링을 위해 GPS와 GIS시스템을 이용하여 해당차량이 위치한 교통상황을 반영한 시스템을 제안함으로서 도로 위에서 지체되는 시간을 최대한 줄여 시간과 비용을 절감하는 효과적인 해를 제시하고자 하였다. 본 연구는 각종 물류 운송 분야에 적용가능하다는 측면에서 큰 효과가 기대된다.

• Journal of Korean Society for Geospatial Information Science
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• v.25 no.2
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• pp.21-29
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• 2017

For the efficient and stable operation of autonomous vehicles or advanced driver assistance systems being actively studied nowadays, it is important to determine the positions of the vehicle accurately and economically. A satellite based navigation system is mainly used for positioning, but it has a limitation in signal blockage areas. To overcome this limitation, sensor fusion methods including additional sensors such as an inertial navigation system have been mainly proposed but the high sensor cost has been a problem. In this work, we develop a vehicle position estimation algorithm using in-vehicle sensors and a low-cost imaging sensor without any expensive additional sensor. We determine the vehicle positions using the velocity and yaw-rate of a car from the in-vehicle sensors and the position and attitude of the camera based on the single photo resection process. For the evaluation, we built a prototype system, acquired test data using the system, and estimated the trajectory. The proposed algorithm shows the accuracy of about 40% higher than an in-vehicle sensor only method.

• Journal of Korean Society of Transportation
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• v.28 no.5
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• pp.107-116
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• 2010

The vehicle travel time between locations in a downtown is greatly influenced by both complex road conditions and traffic situation that changes real time according to various external variables. The customer's demands also stochastically change by time period. Most vehicle routing problems suggest a vehicle route considering travel distance, average vehicle speed, and deterministic demand; however, they do not consider the dynamic external environment, including items such as traffic conditions and stochastic demand. A realistic vehicle routing problem which considers traffic (smooth, delaying, and stagnating) and stochastic demands is suggested in this study. A mathematical programming model and hybrid genetic algorithm are suggested to minimize the total travel time. By comparing the results considering traffic and stochastic demands, the suggested algorithm gives a better solution than existing algorithms.

• International Journal of Highway Engineering
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• v.12 no.2
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• pp.63-69
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• 2010

Since speed limit enforcement in school zones is the most important to reduce the occurrence of severe child related accidents, school zones typically have a speed limit of 30km/h. However, it is found that the majority of vehicles passing school zones are traveling over 30km/h. This indicates that school zones are not being effectively operated to achieve the main objective which is the reduction of child related accidents. This study aims to identify the factors affecting the violation of speed limits in school zones through the results of field survey from 8 elementary schools. The results showed that time period, the number of lanes, the width of sidewalks, and the status of colored pavement were found to be highly associated with the violation of speed limits in school zones at the 95% significance level. The results of this study may provide some insights for making safe environments around schools.

• Spatial Information Research
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• v.21 no.6
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• pp.57-67
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• 2013

GPS based car navigation systems show significant problems in such environment as a tunnel, a road surrounded by high buildings. In this study, we thus propose a method to determine positions and attitudes using only in-vehicle sensory data without a GPS. To check the feasibility of this method, we constructed a system to acquire in-vehicle sensory data and reference data simultaneously. We acquired test data using this system, estimated the trajectory based on the proposed method and evaluated the accuracy of both the sensory data and the trajectory. The speed and angular velocities provided by the in-vehicle sensors include 1.1 km/h and 0.8 deg/s RMS errors, respectively. The estimated trajectory using these data shows 20.8 m RMS errors for a 15 minute drive. In future, if we further combine additional sensors such as a camera and a GPS, we can achieve a high accurate navigation system at a low cost without an expensive high-grade external IMU.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.3
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• pp.663-668
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• 2010

In driving a car, turns such as left turns, right turns, or u-turns, make the speed of the car decrease considerably. A more straight path, therefore, is probably faster to arrive at the destination than zig-zag path with same distance. In this paper, we have newly proposed the turn heuristic to make more straight path. The path navigation algorithm with turn heuristic(called as TA* algorithm) could enhance the straightness of a path by putting the turned-edges to the turn cost. It requires higher cost to use TA* algorithm than traditional A* algorithm because the straight-edge first searching have increased the search space. We have improved the TA* algorithm into the variable TA* algorithm(called as VTA* algorithm) which adopt the turn-heuristic during the a portion of the whole path.