activity
20192022
most citedIncorporating dynamicity of transportation network with multi-weight traffic graph convolutional network for traffic forecasting

74 citations · 84 across the 8 of their papers we have counts for

collaborators
Showing 2022Show all

5 papers · 1 filter

cs.RO2022★ 3 cited

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…

stat.AP2022

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…

stat.AP2022

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,…

cs.LG2022★ 5 cited

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…

cs.LG2022

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…