• Title/Summary/Keyword: 운행요인

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Technological Advances for Particulate Matter Collection in Subway System (지하철 미세먼지 포집을 위한 기술적 진보)

  • Son, Youn-Suk;Ryu, Jae-Yong
    • Prospectives of Industrial Chemistry
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    • v.21 no.2
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    • pp.24-34
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    • 2018
  • 본 연구에서는 지하역사 및 터널에서 발생되는 미세먼지의 현황 및 이를 저감하기 위한 기술의 동향을 조사하였다. 지하역사 및 터널의 미세먼지 농도는 주변 대기 중의 농도보다 높은 것으로 나타났다. 그 구성 성분에 있어서 다양한 중금속 및 발암물질들을 함유하고 있고, Fe의 농도가 가장 높게 나는 것을 알 수 있었다. 지하역사 및 터널의 미세먼지 농도는 주변 대기 농도와 같은 외부 요인뿐만 아니라 열차의 운행 수, 이용 승객수, 환기량과 같은 내부 요인도 큰 영향을 미치는 것을 확인할 수 있었다. 현재 지하역사 및 터널의 미세먼지를 저감하기 위해서 다양한 기술(환기팬, 스크린도어, 자성필터, 소형제트팬, 인공지능 환기시스템 등)들이 연구되고 있으며, 그 기술들은 현장 조건에 맞추어 사용되어야 그 실효성을 극대화시킬 수 있을 것이다.

Analysis of Factors Related To Elderly Pedestrian Traffic Accients : Centered on Seoul Metropolitan City (노인보행자교통사고 요인 분석 : 서울특별시 중심으로)

  • Seong, Je Min;Yoon, Byoung-Jo
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2023.11a
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    • pp.261-262
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    • 2023
  • 보행자 교통사고는 보행자와 운행 중인 차량 간 발생한 충돌사고로 도로 및 주변 환경 등에 영항을 받는다. 이 연구에서는 2018년부터 2022년까지 서울특별시에서 발생한 노인 보행자 교통사고 자료를 수집하여 보행자 교통사고의 사고 요인을 분석하였다. 분석에 있어서 고려된 연구모형은 랜덤포레스트, Gradient Boosting regression(GBR)이다. 분석 결과 서울특별시의 지리적 특성과 교통 통행 패턴을 반영하여 교통약자를 대상으로 하는 교통정책을 보완하고, 보행 안전을 강화하는 것이 필요하다.

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Spatial Factors' Analysis of Affecting on Automated Driving Safety Using Spatial Information Analysis Based on Level 4 ODD Elements (Level 4 자율주행서비스 ODD 구성요소 기반 공간정보분석을 통한 자율주행의 안전성에 영향을 미치는 공간적 요인 분석)

  • Tagyoung Kim;Jooyoung Maeng;Kyeong-Pyo Kang;SangHoon Bae
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.5
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    • pp.182-199
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    • 2023
  • Since 2021, government departments have been promoting Automated Driving Technology Development and Innovation Project as national research and development(R&D) project. The automated vehicles and service technologies developed as part of these projects are planned to be subsequently provided to the public at the selected Living Lab City. Therefore, it is important to determine a spatial area and operation section that enables safe and stable automated driving, depending on the purpose and characteristics of the target service. In this study, the static Operational Design Domain(ODD) elements for Level 4 automated driving services were reclassified by reviewing previously published papers and related literature surveys and investigating field data. Spatial analysis techniques were used to consider the reclassified ODD elements for level 4 in the real area of level 3 automated driving services because it is important to reflect the spatial factors affecting safety related to real automated driving technologies and services. Consequently, a total of six driving mode changes(disengagement) were derived through spatial information analysis techniques, and the factors affecting the safety of automated driving were crosswalk, traffic light, intersection, bicycle road, pocket lane, caution sign, and median strip. This spatial factor analysis method is expected to be useful for determining special areas for the automated driving service.

Identifying Key Factors to Affect Vehicle Inspection and Maintenance(I/M) Test Results Using a Binary Logit Model (California Case Study) (이항로짓모형을 이용한 자동차 배출가스 검사결과에 미치는 요인분석(미국 캘리포니아 사례를 중심으로))

  • Chu, Sang-Ho
    • Journal of Korean Society of Transportation
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    • v.24 no.3 s.89
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    • pp.189-195
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    • 2006
  • For the past decades, vehicle emissions has been a major source of air pollution in urban areas Vehicle inspection and maintenance (I/M) test programs were developed for major metropolitan areas to reduce urban air pollution. However. there are a few studies of exploring major factors to influence I/M test failure. This study develops a logit model to identify key factors affecting overall test failure, using the vehicle I/M test data from California in October 2002. The model results indicate that vehicle age, odometer reading, engine size, vehicle make, presences of emissions control equipment, and test types have significant effects on the probability of I/M test failure.

Proposal on Active Self Charging and Operation of Autonomous Vehicle Using Solar Energy (태양광을 이용한 자율주행 자동차의 능동적 자가 충전 및 운행 제안)

  • Hur, Hyun-Woo
    • The Journal of the Korea Contents Association
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    • v.22 no.9
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    • pp.85-94
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    • 2022
  • In modern society, environmental and energy problems have caused to replace cars with environment friendly energy. Vehicles with internal combustion engine which use petroleum are one of the factors that influence global pollution due to environment problems such as fine dust and ozone layer destruction. In addition use of energies for automobile making resources to become depleted. To solve this limited oil energy problem by using other energy sources. To the problem using electric energy and green energy as alternative for a solution. Among environment friendly energies this paper studies the possibility of drive service for autonomous vehicles that self-charges using only solar energy and whether they can be used as pollution free and alternative energy for automobiles. Studies was researched based on published literature review, data from ministry of transportation and automobile companies. Also case of electric vehicle and prototype automobile using only solar energy and the theory of near future technologies. Many automakers are using electric cars as alternative energy. Also making efforts to use solar energy as an substitute energy source and as a way to supplement electricity. Results show that there is a potential on operating autonomous vehicle using only solar energy. Furthermore, it will be possible to use automobiles actively, also use and supply solar energy. This paper suggest the possibility of contributing to the future of the automotive industry.

Improvement of Optimal Bus Headway for Intermodal Transfer Station (교통수단간 연계를 위한 최적 버스 배차간격 조정 알고리즘 개발)

  • Ryu, Byoungyong;Yang, Seungtae;Bae, Sanghoon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.1D
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    • pp.17-23
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    • 2009
  • Due to the rapid increase of vehicles on the street, Korean society is facing worsening traffic congestions and air pollutions. Also, the oil price pickup has led to increasing need for the use of public transportation. In particular, transfering among public transportation may be a main factor for riders who are commuting for a long distance journey. In order to ensure such connectivity, transfer stations have been actively built in Korea. However, it would be necessary to shift those vehicles, from cars to public transportations by enhancing the users' satisfaction with public transportation through strategies for minimizing the users' waiting cost by building an efficient connective system between transportation modes as well as the preparation of aforementioned transfer stations. Therefore, this study aimed to develop an algorithm for minimizing transferring passengers' waiting costs based on service intervals of linked buses within the transfer facilities. In order to adjust the service interval, we calculated the total costs, involving the wait cost of transfer passengers and bus operation costs, and produced an allocation interval, that would minimize the costs. We selected a KTX departing from Seoul station, and a No. 6014 bus route in Gwangmyeong city where it starts from the Gwangmyeong station in order to for verifying the model. Then, the transfer passengers' total waitting cost was reduced equivalent to the maximum of 212 minutes, and it revealed that the model performed very effectively.

Understanding User Acceptability Towards to Robo Taxi Based on Value Based Adoption Model (가치기반수용모델 기반의 로보택시 사용자 수용성 분석)

  • In su Kim;Jeong ah Jang;Junghwa Kim
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.1
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    • pp.291-310
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    • 2023
  • This study explores the factors which affect user acceptance for Robo Taxi, an electricity-based Autonomous Vehicles based on a Value based Adoption Model. The three main factors of benefit (usefulness and enjoyment), sacrifice (technicality and perceived fee level), and user experience about mobility services such as car sharing, taxi, and autonomous vehicles, were finally selected as independent variables as a influential factors on perceived values and adoption intention of Robo taxi. The study found that usefulness, enjoyment, and perceived fee had a significant effects on adoption intention, and some user experiences had a significant effect on benefit factors. This study has important implications for incorporating the Value-based Adoption Model results into the service design for the activation of Robo taxi, and furthermore, they can provide a theoretical basis for effective use of the research findings.

A Study on Optimizing Depot Location in Carsharing Considering the Neighborhood Environmental Factors (근린환경 요인을 고려한 카셰어링 대여소 배치 방안 연구)

  • Seo, Jeemin;Sheok, Chongsoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.5
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    • pp.49-59
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    • 2017
  • In this study, We analyzed the characteristics of carsharing use and revealed the environmental factors influencing carsharing use using the records of carsharing had been operated in Incheon during 2016. The records show a higher ratio of male users, a big portion of 20s and 30s, and ascending trends in the use of elderly people and short distances compared to the past. We analyzed the relationship between carsharing use and neighborhood environmental factors using the negative binomial regression model. It was found that carsharing was more active in areas where have many public transportation users and higher portion of residential buildings. Therefore, it was concluded that these areas can be suitable candidates for placing new carsharing rental sites to expect more active carsharing use.

A Study on the Factors Affecting to Service Satisfaction of Intra-city Bus Users (시내버스 이용자의 서비스만족 영향요인에 관한 연구)

  • Kim, Gwang Uk;Jung, Hun Young
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.32 no.3D
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    • pp.213-222
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    • 2012
  • After enforcing 2007 semi-public management system of intra-city bus, Busan city has tried to promote the bus utilization through bus service improvements. As an effort for this, we attempted to clarify the main factors affecting to bus service satisfaction targeting intra-city bus users. In this study, 20 subcategories of intra-city bus service were assorted into 6 factors: Basic Service, Safe Driving, Route Information, Comfort, Cleanliness and Facilities, then the preference for each detailed bus service were analyzed. And the effects for bus service satisfaction were shown under the various conditions according to the general characteristics of intra-city bus users (gender, age), behavioral traffic characteristics (frequency of use, boarding time) and transportation environments (temperature, rainfall). These results would be important basic data for decision-making in bus policy for climate change and establishment of operating plan for bus utilization.

Study of Black Ice Detection Method through Color Image Analysis (컬러 이미지 분석을 통한 블랙 아이스 검출 방법 연구)

  • Park, Pill-Won;Han, Seong-Soo
    • Journal of Platform Technology
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    • v.9 no.4
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    • pp.90-96
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    • 2021
  • Most of the vehicles currently under development and in operation are equipped with various IoT sensors, but some of the factors that cause car accidents are relatively difficult to detect. One of the major risk factors among these factors is black ice. Black ice is one of the factors most likely to cause major accidents, as it can affect all vehicles passing through areas covered with black ice. Therefore, black ice detection technique is essential to prevent major accidents. For this purpose, some studies have been carried out in the past, but unrealistic factors have been reflected in some parts, so research to supplement this is needed. In this paper, we tried to detect black ice by analyzing color images using the CNN technique, and we succeeded in detecting black ice to a certain level. However, there were differences from previous studies, and the reason was analyzed.