• Title/Summary/Keyword: Driving Distance

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Parking Path Planning For Autonomous Vehicle Based on Deep Learning Model (자율주행차량의 주차를 위한 딥러닝 기반 주차경로계획 수립연구)

  • Ji hwan Kim;Joo young Kim
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.23 no.4
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    • pp.110-126
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    • 2024
  • Several studies have focused on developing the safest and most efficient path from the current location to the available parking area for vehicles entering a parking lot. In the present study, the parking lot structure and parking environment such as the lane width, width, and length of the parking space, were vaired by referring to the actual parking lot with vertical and horizontal parking. An automatic parking path planning model was proposed by collecting path data by various setting angles and environments such as a starting point and an arrival point, by putting the collected data into a deep learning model. The existing algorithm(Hybrid A-star, Reeds-Shepp Curve) and the deep learning model generate similar paths without colliding with obstacles. The distance and the consumption time were reduced by 0.59% and 0.61%, respectively, resulting in more efficient paths. The switching point could be decreased from 1.3 to 1.2 to reduce driver fatigue by maximizing straight and backward movement. Finally, the path generation time is reduced by 42.76%, enabling efficient and rapid path generation, which can be used to create a path plan for autonomous parking during autonomous driving in the future, and it is expected to be used to create a path for parking robots that move according to vehicle construction.

A Study on The Performance and Fuel Economy of Diesel Vehicles According to Change in Fuel Properties (연료물성에 따른 경유 차량의 성능 및 에너지소비효율 연구)

  • Noh, Kyeong-Ha;Lee, Min-Ho;Kim, Ki-Ho;Lee, Jung-Min
    • Journal of the Korean Applied Science and Technology
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    • v.35 no.3
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    • pp.667-675
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    • 2018
  • Increasing emissions regulations and demand of high-efficiency cars that travels a lot of distance with less fuel, there is growing interest in Energy Consumption Efficiency. Korean energy consumption efficiency compute combined Fuel Economy by driven city & highway driving mode and present final Energy Consumption Efficiency as using 5-cycle correction formula. Energy consumption efficiency is computed Carbon-balance-method, when used burning fuel play a key role in vehicle performance & Energy Consumption Efficiency. In Korea, vehicle fuel is circulate by Petroleum and Petroleum Alternative Business Act, there is property difference in quality standard because petroleum sector's refine method or type of crude oil. It does not appear a big difference according to fuel, because it sets steady quality standard, it may affect the performance of automobile. Thus, in research We purchase a few diesel fuel which circulated in the market in summer season though directly-managed-gas station by petroleum sector, resolve property each of fuel, we compute Fuel Economy each of them. We analyze into change depend on applying for property as nowadays utilizing Energy Consumption Efficiency calculating formula of gasoline and diesel fuel. As result, Density each of sample fuel has a maximum difference roughly 0.9%, net heat value each of sample fuel has difference 1.6%, result of current Energy Consumption Efficiency each of sample fuel has a difference roughly 1% at city drive mode, 1.4% at highway drive mode. Result of use gasoline calculator formula shows less 6% result than nowadays utilizing Energy Consumption Efficiency calculating formula, each of sample's Energy Consumption Efficiency shows maximum roughly 1.4% result in city & highway drive mode.

Golf activity after total knee arthroplasty (슬관절 전치환술 후 골프활동)

  • Kim, Hyung-Jun;Cha, Seung-Han;Nam, Kyoung-Mo;Kim, Dong-Heon
    • Journal of Korean Orthopaedic Sports Medicine
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    • v.11 no.1
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    • pp.51-56
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    • 2012
  • Purpose: Golf is a popular sports activity after total knee arthroplasty in old age patients. We evaluated golf and implant loosening through the radiologic method. We also evaluated correlation of patterns of golf activity and clinical outcome to suggest guidelines to the patients. Materials and Methods: We carried out a retrospective case-control study of 80 patients (80 knees) who underwent TKR between 2005 and 2008, and followed up more than 3 years. We divided patients who played golf after TKR as a study group and who did not participate sports activities as a control group. We calculated the sum of width of radiolucent line in 7 sections around femoral component, 7 sections around tibial components and 5 sections in patella component using American Knee Society Roentgenographic Evaluation and Scoring system respectively. The inclusion criteria, was BMI (body mass index) was between 25 and $30kg/m^2$, and UCLA activity-level rating System score was between 5 and 8. We also got the information of patients' patterns of golf activities such as 1. the interval from surgery to return to golf activity. 2. the frequency of golf activities 3. using spike or cart. We obtained the information from patient's questionnaire and telephone interview. We compared with the VAS (visual analogue scale) respectively. And handicaps and driving distance was evaluated as well. Results: The study group's mean sum of radiologic score was 0.84 mm and 0.69 mm in control group. This is not statistically significant (p=0.22). Too early returning to golf (p=0.01) and left knee replacement (p<0.01) were statistically significant factors affecting clinical outcomes of golf activities after total knee arthroplasty. Conclusion: We concluded that golf activities after total knee arthroplasty is not correlated with radiographic loosening, and we need to give an explanation to the patients about increased pain when returing to golf too early and left side arthroplasties.

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Development of the Risk Evaluation Model for Rear End Collision on the Basis of Microscopic Driving Behaviors (미시적 주행행태를 반영한 후미추돌위험 평가모형 개발)

  • Chung, Sung-Bong;Song, Ki-Han;Park, Chang-Ho;Chon, Kyung-Soo;Kho, Seung-Young
    • Journal of Korean Society of Transportation
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    • v.22 no.6
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    • pp.133-144
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    • 2004
  • A model and a measure which can evaluate the risk of rear end collision are developed. Most traffic accidents involve multiple causes such as the human factor, the vehicle factor, and the highway element at any given time. Thus, these factors should be considered in analyzing the risk of an accident and in developing safety models. Although most risky situations and accidents on the roads result from the poor response of a driver to various stimuli, many researchers have modeled the risk or accident by analyzing only the stimuli without considering the response of a driver. Hence, the reliabilities of those models turned out to be low. Thus in developing the model behaviors of a driver, such as reaction time and deceleration rate, are considered. In the past, most studies tried to analyze the relationships between a risk and an accident directly but they, due to the difficulty of finding out the directional relationships between these factors, developed a model by considering these factors, developed a model by considering indirect factors such as volume, speed, etc. However, if the relationships between risk and accidents are looked into in detail, it can be seen that they are linked by the behaviors of a driver, and depending on drivers the risk as it is on the road-vehicle system may be ignored or call drivers' attention. Therefore, an accident depends on how a driver handles risk, so that the more related risk to and accident occurrence is not the risk itself but the risk responded by a driver. Thus, in this study, the behaviors of a driver are considered in the model and to reflect these behaviors three concepts related to accidents are introduced. And safe stopping distance and accident occurrence probability were used for better understanding and for more reliable modeling of the risk. The index which can represent the risk is also developed based on measures used in evaluating noise level, and for the risk comparison between various situations, the equivalent risk level, considering the intensity and duration time, is developed by means of the weighted average. Validation is performed with field surveys on the expressway of Seoul, and the test vehicle was made to collect the traffic flow data, such as deceleration rate, speed and spacing. Based on this data, the risk by section, lane and traffic flow conditions are evaluated and compared with the accident data and traffic conditions. The evaluated risk level corresponds closely to the patterns of actual traffic conditions and counts of accident. The model and the method developed in this study can be applied to various fields, such as safety test of traffic flow, establishment of operation & management strategy for reliable traffic flow, and the safety test for the control algorithm in the advanced safety vehicles and many others.