• 제목/요약/키워드: Driving Pattern

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고령자의 운전패턴 인식을 통한 운전면허증 갱신 및 반납 정책에 대한 연구 (A Study on the Driver's License Renewal and Return Policy through the Recognition of the Elderly's Driving Pattern)

  • 조면균
    • 디지털융복합연구
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    • 제16권10호
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    • pp.213-222
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    • 2018
  • 본 연구는 고령운전자의 교통사고율 감소를 위하여 고령자의 운전패턴 인식을 통해 교통사고위험지수를 도출하고 그에 따라 운전면허증의 갱신 및 반납 정책에 반영하고자 실시되었다. 먼저, 고령운전자의 행동특성을 분석하여 교통사고를 유발하는 주요요인을 도출하여 교통사고 위험지수를 정의한다. 둘째, 자동차에 부착된 카메라, 거리센서와 스마트폰을 통하여 고령자의 운전패턴으로부터 교통사고 위험지수를 측정하는 방법을 제시한다. 마지막으로 컴퓨터 시뮬레이션으로 3개의 문턱 값을 도출하여 측정된 교통사고 위험지수로부터 사고위험도를 4단계로 판별하고 고령 운전자의 안전운전을 보장하기 방안을 제시한다. 제안하는 방법에 따라 고령운전자의 운전능력을 객관적으로 평가하여 운전면허 갱신주기의 재설정 및 자진 반납을 유도함으로써, 고령운전자의 교통사고 증가로 인한 사회적 비용을 최소화하기 위한 운전면허증 관리정책 수립에 적극 활용 가능할 것이라 믿는다.

가속도센서를 이용한 운전패턴 인식기법 (Recognition of Driving Patterns Using Accelerometers)

  • 허근섭;배기만;이상룡;이춘영
    • 제어로봇시스템학회논문지
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    • 제16권6호
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    • pp.517-523
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    • 2010
  • In this paper, we proposed an algorithm to detect aggressive driving status by analysing six kinds of driving patterns, which was achieved by comparing for the feature vectors using mahalanobis distance. The first step is to construct feature matrix of $6{\times}2$ size using frequency response of the time-series accelerometer data. Singular value decomposition makes it possible to find the dominant eigenvalue and its corresponding eigenvector. We use the eigenvector as the feature vector of the driving pattern. We conducted real experiments using three drivers to see the effects of recognition. Although there exists differences from individual drivers, we showed that driving patterns can be recognized with about 80% accuracy. Further research topics will include the development of aggressive driving warning system by improving the proposed technique and combining with post-processing of accelerometer signals.

모듈화된 신경망을 이용한 운전의지 판단 알고리즘 (The Decision Algorithm for Driving Intension Using Moduled Neural Network)

  • 강준영;김성주;김용택;서재용;전홍태
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2001년도 추계학술대회 학술발표 논문집
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    • pp.271-274
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    • 2001
  • Recently, most vehicles has the Automatic transmission system as their transmission system. The automatic transmission system operates with fixed shift patterns. In the opposite of manual operation, it is easy and convenient for driving. Though these merit, the system can not evaluate the driver's intension because of usage of fixed shift pattern, To consider driver's intension, we must consider both the driving intensity of driver and the status of vehicle. In this paper, we developed flexible automatic transmission system by using the proposed moduled neural networks which can learn the status of the vehicle and driver's intensity As a result, we compare the transmission system using fixed shift pattern and the proposed transmission system and show the good performance in the change of shift position.

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서울시 도시형 버스의 추행패턴에 관한 연구 (A Study of Driving Pattern of City-bus in the City of Seoul)

  • 정남훈;이우택;선우명호;이영재;엄명도
    • 한국자동차공학회논문집
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    • 제10권2호
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    • pp.55-65
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    • 2002
  • Emission from road traffic is one of the major sources of air pollution, and provides some undesirable effects on the atmspheric environment and human health. In the city of Seoul, the higher portion of diesel vehicles runs compared with that of other countries. Emission from the diesel vehicles is much higher than that of other vehicles. In this study, the driving pattern of city-bus in Seoul is investigated through on-road vehicle test and compared with the test modes of other countries in order to examine appropriateness of the present test mode that is taken in our country.

주행패턴의 상대 가속도에 따른 중소형 자동차의 온실가스 및 대기오염물질 배출 특성 (Greenhouse Gas and Pollutant Emission from Light-Duty Vehicles Regarding the Relative Positive Acceleration)

  • 이태우;길지훈;박경균;박준홍;박용희;홍지형;이대엽
    • 한국자동차공학회논문집
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    • 제18권4호
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    • pp.31-39
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    • 2010
  • Although driving patterns strongly influence greenhouse gas and air pollutant emission rate from light duty vehicles, emission measurements have been mainly based on chassis dynamometer testing with one standard driving pattern. And there has been limited work on quantifying the independent effect of driving parameters on emission rate because of multidimensional nature of real-world driving pattern. The objective of this study is to obtain the quantitative effect of relative positive acceleration (RPA) on vehicle emission rate. RPA has been used to define the occurrence of acceleration demanding large amounts of power in certain driving distance and shown to be a significant affecting parameter for real-world emission rate. 40 driving patterns have been developed with fixed driving parameters to investigate independent effect of RPA. For the same values of average vehicle speed and power, the trend in carbon dioxide emission rate and fuel consumption with respect to RPA is very clear. Emission rate of nitrogen oxide and particulate matter also increase with respect to RPA, but the trend is less clear. Carbon dioxide emission from diesel vehicle appear to be more affected by high accelerations compared to that from gasoline vehicle because of high intake air restriction during acceleration caused by turbocharger and intercooler. The results have implications for the possible reduction of environmental effects through better traffic planning and management, driver education and car design.

서울특별시의 주행특성 분석에 관한 연구 (Analysis of the Driving Patterns Concerned with Fuel Economy in Seoul Metropolitan Area)

  • 이영재;권오석;고창조
    • 한국자동차공학회논문집
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    • 제3권2호
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    • pp.1-15
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    • 1995
  • The driving patterns in Seoul metropolitan area were surveyed in an experiment involving 1,212km of driving along seventeen representative routes. The speed and fuel consumption data were recorded and the influence of driving patterns on vehicle fuel economy was analyzed by statistical techniques. The results showed that characteristics of driving in Seoul metropolitan area are far different from that of CVS-75 mode and then on-road fuel economy in Seoul may be small as compared with that of CVS-75 mode. Finally, it was proposed that CVS-75 mode fuel economy should be modified by applying adjustment factor to represent actual on-road fuel economy.

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알코올 소비와 음주교통사고 (Alcohol Consumption and Alcohol-involved Traffic Accident)

  • 이원재
    • 보건교육건강증진학회지
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    • 제14권2호
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    • pp.69-94
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    • 1997
  • Recently, occurrence of alcohol-involved traffic accidents is increasing while all the accidents by violation of law except drunk driving. Traffic accidents by drunk driving has a great external cost. In detecting drunk driving, blood alcohol content Many studies reported close correlation between blood alcohol content and traffic accidents by drunk driving. The risk of traffic accidnet increases exponentially as blood alcohol content increases. To control traffic accidents by drunk driving, decide target population. Heavy drinkers are few and responsible for a small part of the loss while casual drinkers are many and responsible for a large part of the loss. Casual drinkers need to be included in the targer population for the control of traffic accident by drunk driving. Stragegies to reduce the quantity of alcohol consumed, change the pattern of drink, such as frequency of drinking, raise of perceived risk of accident need to be sought.

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Designing Real-time Observation System to Evaluate Driving Pattern through Eye Tracker

  • Oberlin, Kwekam Tchomdji Luther.;Jung, Euitay
    • 한국멀티미디어학회논문지
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    • 제25권2호
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    • pp.421-431
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    • 2022
  • The purpose of this research is to determine the point of fixation of the driver during the process of driving. Based on the results of this research, the driving instructor can make a judgement on what the trainee stare on the most. Traffic accidents have become a serious concern in modern society. Especially, the traffic accidents among unskilled and elderly drivers are at issue. A driver should put attention on the vehicles around, traffic signs, passersby, passengers, road situation and its dashboard. An eye-tracking-based application was developed to analyze the driver's gaze behavior. It is a prototype for real-time eye tracking for monitoring the point of interest of drivers in driving practice. In this study, the driver's attention was measured by capturing the movement of the eyes in real road driving conditions using these tools. As a result, dwelling duration time, entry time and the average of fixation of the eye gaze are leading parameters that could help us prove the idea of this study.

구동파형에 따른 잉크액적 형성 실험 및 해석 (Experiments and analysis of droplet formation influenced by driving waveform)

  • 신동윤
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2008년도 추계학술대회A
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    • pp.26-29
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    • 2008
  • In the fields of electronics and displays where inkjet printing has demonstrated its capability to fabricate colorant subpixels of thin film transistor liquid crystal(TFT LCD) color filters and organic light emitting diode (OLED) displays, conducting tracks and TFTs, the production of satellite droplets is one of primary things to eliminate because they generally deteriorate the pattern quality. To understand the production mechanism of satellite droplets in this paper, driving waveforms such as monopolar and bipolar were employed and the influence of the pulse duration time were investigated in both experimental and numerical aspects.

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