• 한국환경보건학회지
• /
• 제50권3호
• /
• pp.191-200
• /
• 2024

Background: Busan is a rapidly industrializing city with many mixed residential and industrial areas. Fine dust emissions from mobile pollution sources such as ships and vehicles are particularly high in Busan. Objectives: This study analyzed the spatial distribution of air pollutants over the past three years and identified the impact of air pollutants through mobile source data in Busan. Methods: We obtained air pollutant data on fine particulate matter (PM₁₀), ultrafine particulate matter (PM_2.5), nitrogen dioxide (NO₂), sulfurous acid gas (SO₂), and ozone (O₃) for the last three years (source: airkorea.or.kr) and analyzed the spatial distribution using SAS 9.4 and Surfer 23. For the mobile pollutant data, we used CCTV data from major intersections in Busan to identify truck and car traffic, and visualized traffic density with QGIS. Results: The analysis of the concentration of air pollutants over three years (2020~2022) showed that all were lower than the annual environmental standards with the exception of PM_2.5. PM₁₀ and PM_2.5 were found to be highly concentrated in the western part of the area, while NO₂ was high in the port area of Busan and SO₂ was high in the western part of the area and near the new port of Busan. In the case of O₃, it was high in the eastern part of the city. The traffic volume of freight vehicles by intersection was concentrated in the West Busan area, and the traffic volume for all cars was also confirmed to be concentrated at "Mandeok Intersection" located in the West Busan area. Conclusions: This study was conducted to determine the relationship between air pollutants emitted from motor vehicles and the distribution of air pollutants in Busan. The spatial distribution of PM₁₀ and PM_2.5 correlates with traffic volume, while high concentrations of SO₂ and NO₂ near the port are associated with ship emissions.

• 한국안전학회지
• /
• 제23권2호
• /
• pp.65-71
• /
• 2008

As the interest in traffic safety has been increasing recently, social movement is being made to reduce the number of traffic accidents and the view on improving the mobility of the existing roads is being converted into on establishing traffic safety as a priority. The increase of traffic accidents related to an intersection in a state that traffic accidents are decreasing overall may suggests the necessity to investigate the specific causes. In addition, we have to consider them when establishing the measures against traffic accidents in a intersection by investigating and analyzing the influences and factors that may affect traffic accidents. To induce the accident severity model, we collected the factors that affect accidents and then applied the Poisson Regression Model among nonlinear regression analysis by verifying the distribution of variables. As a result of the analysis, it turned out that the volume of traffic on main roads, the right turn ratio on sub-roads, the number of ways out on sub-roads, the number of exclusive roads for a left turn, the signals for a right turn on main roads, and an intersect angle were the factors that affect the accident severity.

• 한국도로학회논문집
• /
• 제14권4호
• /
• pp.163-173
• /
• 2012

PURPOSES : The purpose of this study is to check the possibilities of traffic pattern analysis using MatSIM for urban road network operation in incident case. METHODS : One of the stochastic dynamic models is MatSIM. MatSIM is a transportation simulation tool based on stochastic dynamic model and activity based model. It is an open source software developed by IVT, ETH zurich, Switzerland. In MatSIM, various scenario comparison analyses are possible and analyses results are expressed using the visualizer which shows individual vehicle movements and traffic patterns. In this study, trip distribution in 24-hour, traffic volume, and travel speed using MatSIM are similar to those of measured values. Therefore, results of MatSIM are reasonable comparing with measured values. Traffic patterns are changed according to incident from change of individual behavior. RESULTS : The simulation results and the actual measured values are similar. The simulation results show reasonable ranges which can be used for traffic pattern analysis. CONCLUSIONS : The change of traffic pattern including trip distribution, traffic volumes and speeds according to various incident scenarios can be used for traffic control policy decision to provide effective operation of urban road network.

• 대한토목학회논문집
• /
• 제13권4호
• /
• pp.77-86
• /
• 1993

최근 들어 중차량의 과적화와 교통량 증가에 따른 교통정체현상의 발생은 세계적인 추세이며, 이에 의한 도로교의 손상은 심각한 상태이다. 도로교의 손상도나 안전수준은 도로교 설계활하중 및 차량하중에 의해 도로교에 발생하는 하중효과의 최대치의 특성과 밀접한 관계를 보이고 있다. 최대차량 하중효과는 단일 중차량에 의해서 발생하는 것보다는 상당한 중량을 가진 차량들이 동시에 제하되어 발생하는 경우가 많다. 따라서 본 연구에서는 도로교상에 발생하는 최대차량하중효과를 중요한 교통특성을 합리적으로 반영하여 분석할 수 있는 모의분석기법을 개발하였으며, 개발된 기법을 이용하여 교량형식 및 각종 차량하중특성과 통행특성(중차량 혼입률, 연행특성, 차중모형, 차간거리, 일일교통량 등)에 대한 최대하중효과의 민감도를 분석하였다.

• 환경위생공학
• /
• 제14권2호
• /
• pp.68-74
• /
• 1999

The atmospheric concentrations of Nitrogen Dioxide ($NO_2$) and Total Suspended Particulates (TSP) at the traffic road side were measured n Asan area, Choongchumg-namdo during May 1998 and January, 1999.The results of the study are as follows;1. The aversge value of airbone $NO_2$ and TSP levels were 28.5ppb and 5.9mg/me in Asan area. 2. The concentration distribution of NO2 and TSP is high for the season of winter. On a daily pattern, somewhat high value is appeared in the afternoon. 3. For the station, terminal, and Shinchang, the average value of $NO_2$ is 33.6ppb, 27.9ppb and 24.1ppb in sequence, and the ones of TSP is 6.3mg/m3, 6.0mg/m3 and 5.3mg/m3 in order.4. The high levels of $NO_2$ and TSP were positively related to traffic volume.

• Journal of Communications and Networks
• /
• 제18권5호
• /
• pp.818-825
• /
• 2016

Network management and anomaly detection are challenges in high-speed networks due to the high volume of packets that has to be analysed. Flow-based analysis is a scalable method which reduces the high volume of network traffic by dividing it into flows. As sampling methods are extensively used in flow generators such as NetFlow, the impact of sampling on the performance of flow-based analysis needs to be investigated. Monitoring using sampled traffic is a well-studied research area, however, the impact of sampling on flow-based anomaly detection is a poorly researched area. This paper investigates flow sampling methods and shows that these methods have negative impact on flow-based anomaly detection. Therefore, we propose an efficient probabilistic flow sampling method that can preserve flow traffic distribution. The proposed sampling method takes into account two flow features: Destination IP address and octet. The destination IP addresses are sampled based on the number of received bytes. Our method provides efficient sampled traffic which has the required traffic features for both flow-based anomaly detection and monitoring. The proposed sampling method is evaluated using a number of generated flow-based datasets. The results show improvement in preserved malicious flows.

• 환경영향평가
• /
• 제16권6호
• /
• pp.485-494
• /
• 2007

Air pollution and traffic noise from roads distributed near residential area has been a major social problem. In this study, an environmental pollution map for a residential area of Shihung-city was made by an expectation model based on hourly traffic volume change. Using the result from the model, a plan to reduce population in the residential area was established. The result of the modelling is summarized as follows: 1. At peak traffic hours (18 o'clock), 301-500 degree in hazardous and $d_{25}$ degree (25% of the residents are suffering extremely from the noise) in noise pollution were predicted in Jeongwang Main Road in Shihung city. 2. The calculated critical pollutant standard index, PSI showed the air pollution level, especially PM-10 high enough to require re-entrainment. 3. It was expected air pollution would extensively extend over the area distribution of each degree. However, noise pollution problem was limited to the area near roads.

• 대한설비공학회:학술대회논문집
• /
• 대한설비공학회 2006년도 하계학술발표대회 논문집
• /
• pp.1087-1092
• /
• 2006

Recently, traffic noise level is rapidly increasing, and it is crowed caused by recently overcrowded and overgrown cities, and increasing traffic volume is emerging as a major factor of disrupting the living and working environment. In this situation, citizens are increasingly complaining about the traffic noise. The noise level of in major cities in Korea is serious and affects on citizens physically and psychologically. Many people live in residential areas around crowed roads in major cities, such as Seoul. Accordingly, the purpose of this study is to predict outside noise distribution of building through survey and simulation to make better sound insulation performance research. The result of this study shows that the traffic noise is influenced from ground 50m and analyzed that form of building and arrangement type must be considered to the level of noise decrease.

• 한국환경생태학회지
• /
• 제28권5호
• /
• pp.516-522
• /
• 2014

본 연구에서는 두루미류의 서식밀도에 영향을 주는 요인 중 인위적 요인에 의한 영향을 평가하고자 하였다. 대상지역은 강원도 철원군의 민간인통제지역이며 2009년부터 2014년까지 매년 1월의 두루미와 재두루미의 분포를 대상으로 하였다. 인위적 요인인 도로, 거주지 및 군사시설로 부터의 거리에 따른 두루미류의 밀도를 파악하였으며, 비닐하우스의 분포밀도 차이에 따른 두루미류의 서식밀도를 평가하였다. 두루미와 재두루미는 동일지점에서 서식밀도 상관관계가 있었기 때문에 인위적 요인에 대해 유사한 민감성을 보이는 것으로 나타났다. 거주지와 가까운 곳은 두루미와 재두루미 모두 낮은 서식밀도를 보였으며, 2.5km 구간까지 거리가 멀어질수록 밀도가 증가하는 양상을 보였다. 이는 군사시설 및 통행량이 높은 도로와 유사한 양상이었으며, 군사시설로 부터는 약 0.8km까지, 통행량이 높은 도로는 2km 구간까지 요인으로부터 멀어질수록 서식밀도가 증가하였다. 이러한 경향은 인가지역과 군사시설 및 통행량이 높은 도로가 두루미류의 서식밀도에 일정범위까지 악영향을 주는 것을 의미하였다. 통행량이 적은 도로와 인접한 곳은 간헐적 간섭으로 먹이자원이 보전되어 있어 밀도가 높은 것으로 판단되었다. 비닐하우스의 밀도가 낮은 곳에서는 밀도가 증가할수록 두루미류의 서식밀도가 감소하는 경향을 보였는데, 비닐하우스의 밀도가 40개/$km^2$ 미만인 경우에서 나타났다. 하지만 비닐하우스의 밀도가 40개/$km^2$ 이상인 지역에서는 뚜렸한 밀도의 감소가 나타나지 않았다.

• 한국유통학회지:유통연구
• /
• 제3권1호
• /
• pp.145-158
• /
• 1998

The selection of proposed sites for the general logistic center of agriculture products would be made the most suitable place by considering the spread of population as real consumers, the prospect of the demand, the expansion of traffic system, the regional, hourly and carring traffic volume and the use of land based urban planning, etc. As the preconsideration, the possible occupant companies have to be selected on the category of business and the district. After posing questions and having interview, several selected regions would be compared and analysed for deciding the most suitable place. The model for the general logistic center of agricultural products must be selected taking key factors approach for choosing key factors at first and referring to many documentary records. And the more, cooperating with the specialists for location selection and making objective questions to concerned companies, the most suitable place is selected by marking high score for the moderate land cost, the low traffic jam, the connection with the back cities and the possible expansion as the general logistic center of agriculture products.