윤윤진 교수
Yoonjin Yoon
KAIST 김재철AI대학원 · 공학
연구실 소개
윤윤진 교수의 연구실은 도시교통 안전과 미래 이동수단의 안정성 확보를 핵심 목표로 삼고 있습니다. 고령자 보행자 및 차량 이용자의 상이한 피해 특성 분석을 통해 연령대별 맞춤형 교통안전 정책를 제안하며, 특히 노인의 운전 및 탑승 안전성 향상을 위한 보행자·승용차·항공기 분야의 통합적 위험 평가 모델을 개발하고 있습니다. 또한 도시공간의 3차원 공중역학적 환경을 고려한 우주공중이동(UAM)의 실현 가능성과 응급의료서비스 접근성 향상 전략에 대한 연구도 진행 중입니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15The study investigated the commonality and diversity of pedestrian injuries among the elderly by introducing an additional cutoff age of 75. By employing single and interaction binary logit models, the study identified common risk factors for both elderly groups, as well as those that are particularly hazardous to the older-old. With nearly every country experiencing growth in the elderly population, our study strongly suggests that the conventional definition of a single elderly group is no lon
The degree of injury severity of elderly occupants was reduced the most with the use of a seatbelt, demonstrating the importance of using seat restraints. The sharp increase in the risk of injury of the older-old group suggests that the age standard of 65 years as the elderly group with regard to traffic safety may require reconsideration due to the growing number of elderly vehicle users on the road. Our results provide practical evidence with which to formulate new safety policies, including m
In highly urbanized area where traffic condition fluctuates constantly, transportation infrastructure is one of the major contributing factors to Emergency Medical Service (EMS) availability and patient outcome. In this paper, we assess the impact of traffic fluctuation to the EMS first response availability in urban area, by evaluating the k-minute coverage under 21 traffic scenarios. The set of traffic scenarios represents the time-of-day and day-of-week effects, and is generated by combining
In a new era of mobility where the transportation of persons or goods via flying vehicles over urban areas has garnered great interest. As a first step to assess the feasibility of Urban Air Mobility (UAM) in urban areas, we conduct regionalization and correspondence analysis in highly urbanized areas – San Francisco, CA and Manhattan, NY – by incorporating population dataset and urban 3D airspace to delineate the regional boundaries. Regionalization is carried out using graph-based clustering t
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