• Title/Summary/Keyword: 도로운전자

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Implementation of Safe Driving Warning Service using Road Surface and Weather Information (노면, 기상정보를 이용한 자동차 안전운전 결빙 주의보 애플리케이션 설계 및 구현)

  • Ryu, Soo-Min;Choi, Ji-Won;Kim, Ye-hyun;Kwon, Se-Hoon;Kim, Ha-Eun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.1164-1167
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    • 2021
  • 동절기, 야간 등 도로에서 결빙으로 인한 연쇄 추돌 사고는 교통 체증 및 2차 사고의 위험으로 이어진다. 도로 중 결빙 발생 다발 지역인 지방도로, 터널 출입구, 교량 구간, 산기슭 도로, 그늘진 곡선 도로를 대상으로 C-ITS 관점 안전운전 결빙 주의보 애플리케이션을 제공하여 결빙으로 발생하는 사고를 미리 예방하고자 한다. 노면/기상 상태를 아두이노, 기상 api로 측정, 차량 운전자용 앱(GIS/맵 기반) 구현을 통해 앱 사용 운전자 간 양방향 V2V, 운전자와 아두이노 센서 간 V2I 통신으로 결빙으로부터 운전자를 보호함에 있다.

Night-to-Day Road Image Translation with Generative Adversarial Network for Driver Safety Enhancement (운전자 안정성 향상을 위한 Generative Adversarial Network 기반의 야간 도로 영상 변환 시스템)

  • Ahn, Namhyun;Kang, Suk-Ju
    • Journal of Broadcast Engineering
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    • v.23 no.6
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    • pp.760-767
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    • 2018
  • Advanced driver assistance system(ADAS) is a major technique in the intelligent vehicle field. The techniques for ADAS can be separated in two classes, i.e., methods that directly control the movement of vehicle and that indirectly provide convenience to driver. In this paper, we propose a novel system that gives a visual assistance to driver by translating a night road image to a day road image. We use the black box images capturing the front road view of vehicle as inputs. The black box images are cropped into three parts and simultaneously translated into day images by the proposed image translation module. Then, the translated images are recollected to original size. The experimental result shows that the proposed method generates realistic images and outperforms the conventional algorithms.

The Analysis of Driving Workload and Gamma Waves on Curved Sections in Expressway (고속도로 커브구간에서 운전자의 운전부하와 감마파 특성분석에 관한 연구)

  • KANG, Xuejian;NAMGUNG, Moon;KIM, Won Chul;WANG, Weijie
    • Journal of Korean Society of Transportation
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    • v.34 no.6
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    • pp.560-569
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    • 2016
  • Previous studies show that driver mental workload plays a significant role in the occurrence of traffic accidents. This study also analyzes driving workload under different road conditions especially with the brain wave data collected by a driving simulator. We use a logistic regression model to explain the relationship between driving workload and gamma brain waves. The results show that beta band of brain waves becomes broader with more curved sections while alpha band and gamma band become narrower. Since driving workload is negatively correlated with gamma band, it can be concluded that driving condition with less curved section is beneficial for reducing driving stress and increasing driving comfort.

An Extent Estimation Caused by Road Sign Using Graphic Theory (그래프이론을 이용한 도로표지의 혼란정도 평가)

  • Chong, Kyu-Soo
    • International Journal of Highway Engineering
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    • v.14 no.2
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    • pp.157-164
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    • 2012
  • Road signs serve guide informations for efficient traffic control and are regulated by Road Sign Regulation. But few road managers break the regulation because of civil complaint and cause driver's confusion. Also, as promote the road name guide signs and the new road signs on expressway, the driver's confusion being increased. This study analysis factors of driver's confusion, calculates limited information on road signs and specifies modes of driver's confusion caused by road signs. The traffic accident data during 3 years is calculated in order to see how much intimate connection between the road sign confusion and the traffic.

Safe Driving Inducement Effect Analysis of Smart Delineator through Driving Simulation Evaluation (도로 주행 시뮬레이션 평가를 통한 스마트 델리네이터의 안전운전 유도 효과분석)

  • Ko, Han-Geom;Kim, Ji-Ho;Seong, Myung-Jae;Lee, Jin-Soo
    • Journal of Korean Society of Transportation
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    • v.30 no.4
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    • pp.43-59
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    • 2012
  • Assuming a completed Smart Highway road & communication environment that allows real-time information collection and transmission of road traffic condition ahead, the purpose of this study is to develop a plan for inducing a network-level safe driving pattern by providing road traffic condition and safety information to multiple drivers through a road information provision device. In this study, the device with a function that displays different colors according to the hazard level to the existing delineator has been named 'Smart Delineator'. Smart Delineator is a device that provides not only alignment information but also safety information for drivers to receive real-time warning information and intuitively recognize road traffic condition ahead so that drivers can respond. To examine the effects of safety driving inducement level on drivers, a simulation test was conducted using driving simulator as well as a satisfaction survey. The result showed that the Smart Delineator was able to identify the location of occurrence and affecting driving according pattern, either adhering to recommended speed or reducing speed according to the pre-defined hazard level.

Differential Effects of Subjective Evaluation for Attention and Situation Adaptability on Driving Mobility as a Function of Driver's Age: Moderating Effect of Motivation (연령대에 따른 주관적 주의능력과 외부환경 적응능력이 운전이동성에 미치는 영향에서의 차이: 동기특성의 조절효과)

  • Jaesik Lee;Mijung Joo;Jung Ho Kim;Won Young Lee;Jun Beom Ryu;Ju Seok Oh
    • Korean Journal of Culture and Social Issue
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    • v.21 no.3
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    • pp.457-479
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    • 2015
  • This study investigated the differential effects of subjective evaluation for attention and situation adaptability, and motivation on driving mobility as a function of driver's age. The results can be summarized as followings. First, subjective capability evaluation tended to decrease as the drivers' age increased, and lower evaluation for situation adaptability seemed to be recognized earlier than attentional ability in middle-aged drivers. Second, although subjective evaluation for attentional ability predicted positively driving mobility of all age groups, but only subjective evaluation for situation adaptability predicted positively driving mobility of older drivers. Third, among motivational elements, BAS predicted positively driving mobility of young and middle-aged driviers, whereas BIS predicted positively driving mobility of older drivers. Finally, middle-aged drivers tended show increased driving mobility when their attentional ability score and BAS were high, whereas older drivers showed lowest level of driving mobility when their situation adaptability score and BIS were low. These results suggest importance of integrated consideration for drivers' subjective evaluation for attention and situation adaptability, and motivation to understand characteristics of driving mobility in different age groups.

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Cloud-Oriented XML Metadata Generation between Heterogeneous Navigation Systems for Unknown Roads (클라우드 환경에서 이기종 네비게이션간의 새로운 도로 정보 업데이트를 위한 XML 메타 데이터 생성)

  • Lee, Seung-Gwan;Choi, Jin-Hyuk
    • The Journal of the Korea Contents Association
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    • v.11 no.4
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    • pp.83-91
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    • 2011
  • The roadmap DB update for unknown roads is a very important factor for car navigation systems. In this paper, we propose a cloud computing based roadmap generation method for use between heterogeneous navigation system for unknown roads. While the drivers drive on unknown roads, the proposed method extracts the road attribute information, and then generates the metadata in an XML format that is available for the heterogeneous navigation systems in a cloud environment. The metadata is proposed to be used as a replacement for conventional proprietary roadmap formats which used by roadmap providers, which is efficient for heterogeneous navigation system providers in a cloud computing environment. Then, this metadata is provided to the roadmap DB providers through the cloud computing interfaces. With the proposed method, the roadmap DB providers update the own roadmap DB for navigation systems in real time. Therefore, the proposed method can reduce the costs of an actual traveling test and the maintenance for the roadmap DB provides. Thus, the cloud-oriented road map generation method can more efficiently update the unknown road information.

Implementation of a Front Vehicle Extraction System with Shadow Information (그림자 정보를 이용한 전방 차량 검출 시스템 구현)

  • 한상훈;조형제
    • Proceedings of the Korea Multimedia Society Conference
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    • 2001.11a
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    • pp.105-110
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    • 2001
  • 차량이 증가함에 따라서 첨단 교통 시스템(intelligent Transportation System: ITS)은 교통의 효율성, 신뢰성, 안정성 향상에 중점을 두게되었다. 첨단 교통 시스템의 일부분인 운전자 도움 시스템(Advanced Drivers Assistance System)은 운전을 하고 있는 상황에서 도움을 주기 위한 체계이고, 전방의 장애물 검지는 운전자 도움 시스템에서 전방의 상황을 운전자에게 알려주기 위한 중요한 요소이다. 본 논문에서는 HSV 컬러모델을 이용하여 연속된 컬러 영상으로부터 도로상의 차선과 방향 표시자에 구애받지 않고 전방의 차량을 검출하는 방법을 제안한다. HSV 컬러 모텔에서 차량을 검출하기 위해서는 태도(Saturation)와 명도(Value)성분의 관계를 이용하여 차량 영역을 구하고, HSV성분과 위치 특징을 이용하여 이전 프레임의 차량인지 검증한다. 도로 영상에서 차량이 있는 경우 차량의 아래 부분에 그림자 영역이 존재한다는 점을 이용한다. 제안된 방식의 효과를 검증하기 위해 노트북 PC와 PC용 CCD 카메라로 도로에서의 영상을 촬영하고 차량검출알고리즘을 적용한 처리 시간, 정확도, 차량검지 등의 결과를 보인다.

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Analysis of Driving Characteristics of Elderly Drivers on Roads Using Vehicle Simulator (차량 시뮬레이터를 이용한 연속류 도로의 고령운전자 주행특성 분석)

  • LEE, GEUN-HEE;BAE, GI-MOK
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.20 no.1
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    • pp.146-159
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    • 2021
  • vehicle simulator as part of an empirical analysis the driving characteristics of elderly drivers. To this end, the driving characteristics of the elderly driver from previous study review. he driving characteristics of the elderly the driving elderly driver and general driverIn summarizing these experimental results, the -test showed different driving characteristics from general drivers in all items except for one side of the lane, such as driving speed and driving operation (brake, throttle, steering operation) at a significance level of 95%. Second, when changing lanes, it was difficult for elderly driver to maintain speed and secure an appropriate distance between carslderly driver changed lanes even in inappropriate situations (short distances between cars). Third, in unexpected situation, elderly drivers needed more distance and time.

Cognitive Evaluation of Geometrical Structure on Express Highway with Driving Simulator (차량시뮬레이터를 이용한 고속도로 복합선형구간에서의 운전자 감성평가)

  • 이병주;박민수;이범수;남궁문
    • Journal of Korean Society of Transportation
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    • v.21 no.4
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    • pp.91-101
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    • 2003
  • This study modeled 4-lane highway in three-dimensional virtual reality in order to overcome difficulties of field experiment. and the research subject was placed in a driving simulator. We survey the driver's cognitive characteristics to the alignment changes in the three-dimensional virtual reality highway. Especially, maximizing the identity of driving movements and virtual scenery on the basis of the data obtained by dynamic analysis module. we minimized simulator sickness for the graphic module of driving simulator. And we carried out cognitive evaluation on the basis of adjective words extracted by dictionary and the opinion of specialist. In this study LISREL model was used to detect the causal relation between geometry and safety in cognitive side, and found that geometric change affects the safety of drivers by static and dynamic road safety model in three-dimensional combined alignments. As the result, for constructing safety road. we consider drivers' cognitive characteristics as human factors in road design, and we think that they are very important factors to improve road safety.