• 시큐리티연구
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• 제37호
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• pp.51-82
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• 2013

최근 교통환경 개선으로 교통안전이 획기적으로 향상되고 있으나, 여전히 운전태도에는 변화가 없어 많은 사고로 이어지고 있다. 이 연구에서는 교통과태료 및 범칙금제도가 갖고 있는 문제점을 지적하고, 국민의식조사를 통해 적정한 과태료 및 범칙금수준에 대해 탐구하고자 한다. 이를 위해 전국 15개 광역시도의 20세 이상 성인 운전자 905명을 대상으로 설문조사를 실시하였다. 분석결과는 다음과 같다. (1) 우리나라 교통환경은 전반적으로 불안전하며, 난폭운전, 과속운전, 음주운전 등 운전자의 교통법규 미준수가 교통사고의 중요한 원인으로 인식하고 있다. (2) 전체 응답자의 61.6%가 연 1회 이상 과속운전을 경험하지만, 최근 3년간 단속을 경험한 운전자는 15.2%에 불과하였다. (3) 교통과태료의 수준에 대한 저항감은 과거보다 낮아졌고, 보다 많은 정보를 제공했을 때 긍정적인 답변을 제시하였다. (4) 벌점을 회피하기 위한 과태료납부의 도덕적 해이현상을 억제하기 위해 범칙금보다 과태료가 최소 5~7만원이상의 차이가 있어야 한다. (5) 교통범칙금은 위반자의 소득수준에 따른 차등부과 형식보다 누진처벌제도를 도입하는 것에 대한 저항이 적었다. (6) 현 도로교통법 위반행위별 부과 과태료는 재정비가 필요하다. 결론적으로 이 연구에서는 현행 도로교통법의 과태료 및 범칙금 제도개선을 위한 정책적 제언을 다음과 같이 제시한다. (1) 제도개선에 대한 충분한 이해와 공감대 형성이 필수적이다. (2) 차주에 대한 벌점부과 등 금전적 제재보다 행정적 제재를 고려해야 한다. (3) 누진처벌에 대한 제도도입을 고려해야한다. (4) 현 도로교통법 위반행위와 과태료 및 범칙금 수준에 대한 전반적 재정리가 있어야 한다.

• Journal of Communications and Networks
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• 제3권4호
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• pp.383-395
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• 2001

Recent measurement and simulation studies have revealed that wide area network traffic displays complex statistical characteristics-possibly multifractal scaling-on fine timescales, in addition to the well-known properly of self-similar scaling on coarser timescales. In this paper we investigate the performance and network engineering significance of these fine timescale features using measured TCP anti MPEG2 video traces, queueing simulations and analytical arguments. We demonstrate that the fine timescale features can affect performance substantially at low and intermediate utilizations, while the longer timescale self-similarity is important at intermediate and high utilizations. We relate the fine timescale structure in the measured TCP traces to flow controls, and show that UDP traffic-which is not flow controlled-lacks such fine timescale structure. Likewise we relate the fine timescale structure in video MPEG2 traces to sub-frame encoding. We show that it is possibly to construct a relatively parsimonious multi-fractal cascade model of fine timescale features that matches the queueing performance of both the TCP and video traces. We outline an analytical method ta estimate performance for traffic that is self-similar on coarse timescales and multi-fractal on fine timescales, and show that the engineering problem of setting safe operating points for planning or admission controls can be significantly influenced by fine timescale fluctuations in network traffic. The work reported here can be used to model the relevant characteristics of wide area traffic across a full range of engineering timescales, and can be the basis of more accurate network performance analysis and engineering.

• Journal of Preventive Medicine and Public Health
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• 제23권1호
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• pp.43-56
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• 1990

To evaluate the difference of concentration and mutagenicity of organic pollutants between residential and traffic area of Seoul, air samples were collected in Bulkwang (residential) and Shinchon (traffic) area. Samples were analyzed to measure the concentration of extractable organic matters (EOM) and their subfractions and mutagenicities were tested using Salmonella typhimurium TA 98. The concentrations of polycyclic aromatic hydrocarbons (PAHs) were also measured by gas-chromatography and compared between two areas. The results were as follows ; 1. While the concentration of total suspended particulate (TSP) in residential area was below the environmental standard in annual average, the concentration in traffic area was above the standard and was up to its maximum $256{\mu}g/m^3$ in November. The difference of TSP concentrations in both areas of each month was statistically significant (P<0.05). 2. The concentration of fine particle in traffic area was significantly higher compare to that in residential area and showed statistically significant monthly difference in both areas (P<0.05). The proportion of concentration of fine particle to TSP was 55-68%. 3. Mean concentrations of EOM in residential and traffic areas were $4.3{\mu}g/m^3\;and\;5.3{\mu}g/m^3$ respectively. The proportion of amount of EOM from fine particle to EOM from TSP was 70-88%. 4. While the percentage of polar neutral organic compounds (POCN) of fine particle in Bulkwang's sample was higher compare to Shinchon's sample, the percentage of aliphatic compounds of fine particle in Shinchon's sample was higher compare to Bulkwang's sample. The percentages of PAH fraction were as low as 6-10% in both areas. 5. The mutagenic activity of nit concentration of organic matters extracted from fine particle was higher compare to that of coarse particle and was increased when metabolically activated with S9. Mutagenicities with metabolic activation calculated by unit air volume were significantly different between residential and traffic area, $17\;revertants/m^3$\;and\;22\;revertants/m^3$ respectively. 6. The concentrations of benzo(a)pyrene in fine particle of traffic and residential areas were $3.10ng/m^3\;and\;2.02ng/m^3$ respectively. Sixteen PAHs were higher in samples of traffic area compare to residential area and also concentrations of PAHs in fine particle were higher compare to coarse particle.

• 한국인터넷방송통신학회논문지
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• 제19권4호
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• pp.139-149
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• 2019

2018년 현재, 중국에서는 편서풍을 타고 다량의 미세먼지가 한국으로 유입되고 있다. 하지만 국내에서 발생되는 미세먼지양도 무시할 수 없다. 심지어 미세먼지 발생원인의 52%가 국내요인이다. 특히 인구가 밀집된 서울에서는 다른 지역과 비교할 수 없을 만큼 미세먼지 수치가 높다. 서울시에서도 구별로 미세먼지 수치는 다르게 나타난다. 구별로 미세먼지의 발생 차이를 이해하기 위해 서울시 미세먼지 발생원인 중 가장 높은 교통량을 기준으로 판단한다. 2017년의 교통량과 미세먼지의 농도를 비교해 실제로 교통량이 영향을 미치는지, 얼마나 영향을 미치는지, 만약 영향을 주지 않는다면 그 원인은 무엇인지 R을 이용해 비교해보고 서울시 미세먼지 발생의 원인을 확실히 인식한다.

• Asian Journal of Atmospheric Environment
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• 제1권1호
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• pp.1-8
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• 2007

Vehicle exhaust is a dominant source of air pollutants in urban areas. Since people are easily exposed to vehicle exhaust particles while driving a car and/or traveling via public transportation, air pollution near traffic has been extensively studied in developed countries. In this paper, investigations on vehicle-related fine particulate air pollution at roadsides and on roads in Seoul, Korea were reviewed to understand air pollution near traffic. Comparison of $PM_{10}$ concentrations in Seoul showed that roadside air is more contaminated than urban air, implying that exposure levels near vehicular emissions are more critical to sensitive persons. Concentrations of ultrafine particles and BC (black carbon) at roadsides of Seoul fluctuate highly for short durations, responding to traffic situations. Diurnal variations of ultrafine particles and BC concentrations at roadsides seem to be affected by traffic volume, mixing layer height, and wind speed. Concentrations of ultrafine particles and BC decrease as distance from the road increases due to dilution during transport. On-road air pollution seems to be more severe than roadside air pollution in Seoul. Since nearby traffic air pollution has not been well understood in Seoul, further studies including various vehicular air pollutants and representative locations are needed.

• Journal of Korea Artificial Intelligence Association
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• 제1권2호
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• pp.15-20
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• 2023

This study aims to enhance the accuracy of fine dust predictions by analyzing various factors within the local environment, in addition to atmospheric conditions. In the atmospheric environment, meteorological and air pollution data were utilized, and additional factors contributing to fine dust generation within the region, such as traffic volume and electricity transaction data, were sequentially incorporated for analysis. XGBoost, Random Forest, and ANN (Artificial Neural Network) were employed for the analysis. As variables were added, all algorithms demonstrated improved performance. Particularly noteworthy was the Artificial Neural Network, which, when using atmospheric conditions as a variable, resulted in an MAE of 6.25. Upon the addition of traffic volume, the MAE decreased to 5.49, and further inclusion of power transaction data led to a notable improvement, resulting in an MAE of 4.61. This research provides valuable insights for proactive measures against air pollution by predicting future fine dust levels.

• 한국멀티미디어학회논문지
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• 제20권8호
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• pp.1208-1215
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• 2017

Recently, people's attention and worries about fine particulate matter have been increasing. Due to the construction and maintenance costs, there are insufficient air quality monitoring stations. As a result, people have limited information about the concentration of fine particulate matter, depending on the location. Studies have been undertaken to estimate the fine particle concentrations in areas without a measurement station. Yet there are limitations in that the estimate cannot take account of other factors that affect the concentration of fine particle. In order to solve these problems, we propose a framework for estimating the concentration of fine particulate matter of a specific area using meteorological data and traffic data. Since there are more grids without a monitor station than grids with a monitor station, we used a domain adversarial neural network based on the domain adaptation method. The features extracted from meteorological data and traffic data are learned in the network, and the air quality index of the corresponding area is then predicted by the generated model. Experimental results demonstrate that the proposed method performs better as the number of source data increases than the method using conditional random fields.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제7권11호
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• pp.427-434
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• 2018

최근 서울시에서는 '미세먼지 비상저감조치'로 '대중교통 무료' 정책과 '시민 참여형 차량 2부제'를 시행하였다. 본 논문에서는 두 교통정책에 대한 실효성을 파악한 뒤, 향후 미세먼지 정책의 방향을 제시하였다. 교통이 미세먼지에 미치는 영향은 회귀분석으로, 두 정책에 대한 시민들의 반응과 향후 정책에 대한 시민들의 의견은 텍스트마이닝 기법을 통해 알아보았다. 분석 결과, 정책에 대한 시민들의 의견은 대부분 부정적이었고 국외 요인이 미세먼지의 주된 원인이라는 시민들의 생각과 달리 국내 요인의 영향도 상당하였다. 또 국민청원을 통해 시민들이 원하는 구체적인 정책의 내용을 알 수 있었다. 위 결과를 토대로 향후 미세먼지 정책이 나아갈 방향을 제시하였다.

• 대한토목학회논문집
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• 제29권4D호
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• pp.473-481
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• 2009

본 연구는 도로이용 만족도를 평가하기 위해 기존의 통행속도, 지체 등의 정량적인 부분 뿐만아니라 교통정보, 교통안전 등의 정성적인 부분을 고려한 통합적인 서비스 평가지표를 개발하는 것이다. 새로운 평가지표는 기존의 연구결과와 전문가, 도로이용자의 설문을 통해 ANP분석방법을 이용하여 평가항목 및 가중치를 개발하였다. 개발된 평가지표를 검증하기 위하여 뇌파검지기를 통한 도로 이용자 운전 시 느끼는 정도를 측정하여 원인을 분석하여 비교한 결과 기존의 평가지표인 속도는 35%정도의 영향을 주는 것으로 나타났고 교통안전, 교통정보 등의 요인에도 많은 영향을 받는 것으로 나타났다. 따라서 본 연구에서 제시한 통합적인 평가지표는 기존의 도로이용 서비스 만족도보다 이용자측면에서 평가할 수 있고,- 도로의 미관, 교통정보, 교통안전 등의 시대의 요구를 반영할 수 있는 지표의 개발이라는데 의의가 있다.

• Journal of Information Processing Systems
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• 제6권2호
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• pp.147-162
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• 2010

In this paper, we present a fine-grained localization algorithm for wireless sensor networks using a mobile beacon node. The algorithm is based on distance measurement using RSSI. The beacon node is equipped with a GPS sender and RF (radio frequency) transmitter. Each stationary sensor node is equipped with a RF. The beacon node periodically broadcasts its location information, and stationary sensor nodes perceive their positions as beacon points. A sensor node's location is computed by measuring the distance to the beacon point using RSSI. Our proposed localization scheme is evaluated using OPNET 8.1 and compared with Ssu's and Yu's localization schemes. The results show that our localization scheme outperforms the other two schemes in terms of energy efficiency (overhead) and accuracy.