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머신러닝을 사용한 기상 상태 기반 교통사고 위험도 예측 시스템
신수연(Su-Yeon Shin),손수민(Su-Min Sohn),김동국(Dong-Guk Kim),이기환(Ki-Hwan Lee),오병우(Byoung-Woo Oh) 한국정보기술학회 2021 Proceedings of KIIT Conference Vol.2021 No.6
본 논문은 기상 상태에 따른 교통사고 위험도를 예측하는 시스템을 제안한다. 도로교통공단의 교통사고 분석 시스템에 따르면, 기상 상태에 따른 교통사고 건수의 확연한 차이를 확인할 수 있다. 시스템에서 사용하는 예측 모델의 학습 정보로 교통사고 정보, 기상 정보를 활용한다. 모델에 데이터를 학습하여 실시간 기상 정보와 도로명 정보를 입력했을 때, 교통사고 위험도를 예측하여 반환한다. 또한, 사용자가 실시간으로 교통사고 위험도 예측 기능을 사용할 수 있도록 REST API 형태의 시스템을 제안한다. 사용자는 현재 위치의 도로명 데이터로 교통사고 위험도 데이터를 요청하여 수신한다. 사용자가 교통사고 위험도 정보를 확인하고 미리 사고에 대비함으로써 교통사고 발생률의 감소를 기대할 수 있다. This paper proposes a system that predicts traffic accident risk level according to weather conditions. According to the traffic accident analysis system of the Road Traffic Authority, it is possible to confirm a marked difference in the number of traffic accidents according to weather conditions. Traffic accident information and weather information are used as learning data for predictive models used in the system. After the data is learned into the model and real-time weather data and road name data are input, traffic accident risk levels are predicted and returned. In addition, we propose a system in the form of a REST API that allows users to use the traffic accident risk level prediction function in real time. The user requests the road junction data of the current location and receives the traffic accident risk level data. Users can check traffic accident risk level data and expect a reduction in traffic accident incidence in preparation for accidents in advance.
경험식과 요인분석을 통한 오염물질 유출 특성 연구-남한강 상,하류 수계 주요 하천을 중심으로
박지형 ( Ji Hyoung Park ),손수민 ( Su Min Sohn ),류덕희 ( Doug Hee Rhew ) 한국물환경학회 2011 한국물환경학회지 Vol.27 No.6
This study was conducted to characterize the discharge feature of pollutant load from the upper and lower watershed influencing on the water quality of South Han River using the empirical equation and Factor Analysis. The results of regression analysis between flow rate and pollutant load were as follows. In the streams of the upper watershed of South Han river, BOD5 and CODMn were increased as the flow rate was increased. Also, steep increases in SS and TP were observed with positive correlation with the flow rate while change in TN was slightly shown. On the other hand, in the streams of the lower watershed of South Han river, BOD5 was negatively correlated with the flow rate, being decreased with the increase in the flow rate. However, changes in CODMn, TN, SS, and TP showed a similar trend with those observed in the upper watershed. With Factor Analysis of the water quality and various components, it was appeared that the flow rate, SS, and TP were significantly correlated each other and they were indicated as the principal component influencing on water quality in the streams of the upper watershed. In contrast, BOD5, CODMn, and TOC were significantly correlated each other and they were included as the principal pollution component of the streams in the lower watershed. From these results, it was conclusive that the upper watershed of South Han River was mainly affected by non point source pollutants while the lower watershed was influenced by point source pollutants from the developed areas.
비강우/강우기와 유역특성에 따른 하천의 부유물질 성상별 유출 특성 비교
박지형 ( Ji Hyoung Park ),손수민 ( Su Min Sohn ) 한국물환경학회 2013 한국물환경학회지 Vol.29 No.6
This paper investigated the runoff characteristics of different properties of suspended solids in streams according to the watershed characteristics and dry/rainy season. Suspended solids were divided into VSS and NVSS depending on volatilization. The main results of this study were as follows. TSS were more correlated with NVSS than VSS. Suspended solids were positively related with the proportion of urban > paddy > upland, negatively related with forest cover. VSS were positively correlated with POP and POC. VSS, measured in dry season, would partly result from autochthonous production and could be an indirect indicator of organic suspended solids.