Dong‐Kyu Kim
서울대학교 건설환경공학부 · 공학
다운 큐 김 교수의 연구실은 스마트 이동성과 지속가능한 교통체계 구축을 핵심 목표로 삼고 있습니다. 주로 모빌리티 어 causes 서비스(MaaS), 전기 스쿠터 공유 서비스, 보행자 안전 강화, 그리고 교통 흐름 분석을 위한 정밀한 차량 트래잭터리 추출 기술 등에 초점을 맞추고 있습니다. 특히, 사용자 선호도 분석과 실시간 수요 예측을 기반으로 한 이동 서비스 최적화 방안을 연구하며, 드론과 인공지능 기반 기술을 활용한 교통 데이터 수집 및 분석도 활발히 진행하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
In-band full-duplex (IBFD) transmission represents an attractive option for increasing the throughput of wireless communication systems. A key challenge for IBFD transmission is reducing self-interference. Fortunately, the power associated with residual self-interference can be effectively canceled for feasible IBFD transmission with combinations of various advanced passive, analog, and digital self-interference cancellation schemes. In this survey paper, we first review the basic concepts of IB
To enhance the safety of vulnerable pedestrians, considerable investments of time and effort in pedestrian safety facilities and zones should be made. More certain and severe punishments should be also given for the traffic violations that increase injury severity of pedestrian crashes. Furthermore, central and local governments should play a cooperative role to reduce pedestrian fatalities. Practical applications: Based on our study results, we suggest policy directions to enhance pedestrian sa
The expected convenience of mobility-as-a-service (MaaS), which integrates travel modes and related services into a single platform, has generated considerable research interest. Maas could bring attention to intermodal options that involve transfers between transport modes, and users’ preference depends on the level-of-service of the transport mode and their daily travel behavior. This study aims to explore whether and how users’ preference to intermodal options under MaaS is heterogeneous betw
Obtaining the trajectories of all vehicles in congested traffic is essential for analyzing traffic dynamics. To conduct an effective analysis using trajectory data, a framework is needed to efficiently and accurately extract the data. Unfortunately, obtaining accurate trajectories in congested traffic is challenging due to false detections and tracking errors caused by factors in the road environment, such as adjacent vehicles, shadows, road signs, and road facilities. Unmanned aerial vehicles (
This study explores a tourists’ preference for tour mode bundle, defined as a set of preferable travel modes for multiple trips in a tour, under Mobility-as-a-Service (MaaS). In the context of tourism, MaaS could improve transportation sustainability by providing integrated information about sustainable transportation modes. To develop a systematic understanding of tourists’ preference for tour mode bundle, we design a tour-based stated preference (SP) choice experiment based on bundle configura
The electric scooter (e-scooter) sharing service has attracted significant attention because of its extensive usage and eco-friendliness. Since e-scooters are mostly accessed by foot, the presence of e-scooters within walking distance has a crucial effect on the service quality. Therefore, to maintain appropriate service quality, relocation strategies are often used to properly distribute e-scooters within service areas. There are extensive literatures on demand forecasting for an efficient relo
The presence of spindle or mixed cell types may indicate a better prognosis than other cell types. Ki67 immunostaining may be a useful predictor of prognosis in patients with mucosal malignant melanoma of the sinonasal tract.
This study analyzes 86,622 commercial motor vehicle (CMV) crashes (large truck, bus and taxi crashes) in South Korea from 2010 to 2014. The analysis recognizes the hierarchical structure of the factors affecting CMV crashes by examining eight factors related to individual crashes and six additional upper level factors organized in two non-nested groups (company level and regional level factors). The study considers four different crash severities (fatal, major, minor, and no injury). The company
Aging is the most important risk factor for human neurodegenerative diseases such as Alzheimer's and Parkinson's diseases. Pathologically, these diseases are characterized by the deposition of specific protein aggregates in neurons and glia, representing the impairment of neuronal proteostasis. However, the mechanism by which aging affects the proteostasis system and promotes protein aggregation remains largely unknown. The short lifespan and ample genetic resources of Caenorhabditis elegans (C.
As the importance of public transportation increases, the management of bus-involved crashes has become a crucial issue for traffic safety. However, there are relatively few studies on crash severity for buses in South Korea. This study investigated factors that influence the severity of injuries that occur in local bus crashes. The study used commercial vehicle crash data from a 5-year period from 2010 through 2014 in South Korea. To determine unobserved regional effects on crash severity, a hi
This study establishes a network data envelopment analysis (DEA) model to evaluate the sustainability of public transportation services targeting rapid routes for buses in the Seoul metropolitan area. A network DEA-based optimization model is formulated to evaluate the sustainability of the public transportation service. By considering public transportation services from both the operators’ and users’ perspectives, this model produces results that reflect the interaction of three sustainable tra