74 citations · 84 across the 8 of their papers we have counts for
11 papers
Design, Field Evaluation, and Traffic Analysis of a Competitive Autonomous Driving Model in a Congested Environment
Daegyu Lee, Hyunki Seong, Seungil Han +3
Recently, numerous studies have investigated cooperative traffic systems using the communication among vehicle-to-everything (V2X). Unfortunately, when multiple autonomous vehicles…
Data-driven risk analysis of unmanned aircraft system operations considering spatiotemporal characteristics of population distribution
Soohwan Oh, Yoonjin Yoon
One of the challenges of Unmanned Aircraft System (UAS) operations is to operate an unmanned aircraft with minimal risk to people on the ground. The purpose of this study is to def…
Risk Analysis of Unmanned Aerial System Operations in Urban Airspace Considering Spatiotemporal Population Dynamics
Soohwan Oh, Yoonjin Yoon, Seyun Kim
This study aims to estimate the fatality risk of Unmanned Aerial System (UAS) operations from a population perspective using high-resolution de facto population data. In doing so,…
Effective Urban Region Representation Learning Using Heterogeneous Urban Graph Attention Network (HUGAT)
Namwoo Kim, Yoonjin Yoon
Revealing the hidden patterns shaping the urban environment is essential to understand its dynamics and to make cities smarter. Recent studies have demonstrated that learning the r…
PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal Traffic Forecasting
Yuyol Shin, Yoonjin Yoon
The complex spatial-temporal correlations in transportation networks make the traffic forecasting problem challenging. Since transportation system inherently possesses graph struct…
A Comparative Study on Basic Elements of Deep Learning Models for Spatial-Temporal Traffic Forecasting
Yuyol Shin, Yoonjin Yoon
Traffic forecasting plays a crucial role in intelligent transportation systems. The spatial-temporal complexities in transportation networks make the problem especially challenging…
Running the COVID-19 marathon: the behavioral adaptations in mobility and facemask over 27 weeks of pandemic in Seoul, South Korea
Jungwoo Cho, Yuyol Shin, Seyun Kim +4
Battle with COVID-19 turned out to be a marathon, not a sprint, and behavioral adjustments have been unavoidable to stay viable. In this paper, we employ a data-centric approach to…
Short-term Traffic Prediction with Deep Neural Networks: A Survey
Kyungeun Lee, Moonjung Eo, Euna Jung +2
In modern transportation systems, an enormous amount of traffic data is generated every day. This has led to rapid progress in short-term traffic prediction (STTP), in which deep l…
The effect of adaptive mobility policy to the spread of COVID-19 in urban environment: intervention analysis of Seoul, South Korea
Yoonjin Yoon, Soohwan Oh, Jungwoo Cho +4
Although severe mobility restrictions are recognized as the key enabler to contain COVID-19, there has been few scientific studies to validate such approach, especially in urban co…
COVID-19 Mobility Data Collection of Seoul, South Korea
Jungwoo Cho, Soohwan Oh, Seyun Kim +4
The relationship between pandemic and human mobility has received considerable attention from scholars, as it can provide an indication of how mobility patterns change in response…
Incorporating dynamicity of transportation network with multi-weight traffic graph convolutional network for traffic forecasting
Yuyol Shin, Yoonjin Yoon
Traffic forecasting problem remains a challenging task in the intelligent transportation system due to its spatio-temporal complexity. Although temporal dependency has been well st…