• Title/Summary/Keyword: 후진 주행

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Backward Path Tracking Control of a Trailer Type Robot Using a RCGS-Based Model (RCGA 기반의 모델을 이용한 트레일러형 로봇의 후방경로 추종제어)

  • Wi, Yong-Uk;Kim, Heon-Hui;Ha, Yun-Su;Jin, Gang-Gyu
    • Journal of Institute of Control, Robotics and Systems
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    • v.7 no.9
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    • pp.717-722
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    • 2001
  • This paper presents a methodology on the backward path tracking control of a trailer type robot which consists of two parts: a tractor and a trailer. It is difficult to control the motion of a trailer vehicle since its dynamics is non-holonomic. Therefore, in this paper, the modeling and parameter estimation of the system using a real-coded genetic algorithm(RCGA) is proposed and a backward path tracking control algorithm is then obtained based on the linearized model. Experimental results verify the effectiveness of the proposed method.

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The Comparative Study on Travel Behavior and Traffic Accident Characteristics on a Community Road - With Focus on Seoul Metropolitan City (생활도로에서의 교통행태와 교통사고특성에 관한 연구 - 서울특별시를 중심으로)

  • Lim, Joonbeom;Lee, Sooil;Choi, Jongchul;Joo, Sungkab
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.36 no.1
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    • pp.97-104
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    • 2016
  • In Korea, the number of crash accident victims per 100,000 population is three times higher than the average of OECD. In particular, 60% of it occurs on the community road. Thus, this study intends to analyze the causes of such accidents through a pedestrian and vehicle traffic survey. The purpose is to establish practical safety enhancement measures for community roads. In recent years, lots of changes have occurred in the pedestrian environment. A traffic survey shows that 65% of pedestrians walk on the right and 17% of people use smart-phones while walking. An eye camera experiment shows that the operation load of drivers on the community roads is more than 4 times higher than those in urban roads. According to a speed survey, 62% of vehicles drive at 30km/h or above. The characteristics of accidents on community roads are as follows. First, the ratio of accidents on the edge of the road is 2.3 times as high as those on other roads. Second, when people walk on the right, the ratio of accidents is 2.5 times as high as that of walking on the left. Third, it becomes more dangerous when people cross the road from the right to the left. The majority of accidents is caused by unsafe driving (84.4%). When a vehicle makes a left turn, the likelihood of accidents is 2.3 times as high as those caused by a right turn. The ratio of accidents caused by vehicles going backwards is 14% among all accidents. In community roads, the focus of drivers should be at least 4 times higher than those on urban roads. Thus, walking in the opposite direction of vehicles and careless behaviors are highly likely lead to accidents.