Hwasoo Yeo

Professor

Korea Advanced Institute of Science and Technology

South Korea

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Professor Hwasoo Yeo is a faculty member at the Korea Advanced Institute of Science and Technology in South Korea. His research interests encompass traffic management and control, advanced computer vision applications, machine learning techniques, and urban sustainability. He has published extensively on topics including adaptive cruise control impacts, vehicle trajectory extraction from drone imagery, and real-time traffic prediction methodologies.

Articles (18)

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2025

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2021

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2021

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2021

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Assistant Professor

Korea Advanced Institute of Science and Technology

SOUTH KOREA

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Hwasoo Yeo

Research Interests

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Articles (18)

Decentralized and Communication-Based Multi-Agent Traffic Signal Control Model Employing a Graph Representation for the State

Impact of commercial adaptive cruise control on highway traffic congestion and safety

Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery

Traffic control policies for minimizing the negative effect of Adaptive Cruise Control on highway

Dynamic characteristics of commercial Adaptive Cruise Control across driving situations: Response time, string stability, and asymmetric behavior

Asymmetric repulsive force model: A new car-following model with psycho-physical characteristics

A hybrid approach of traffic simulation and machine learning techniques for enhancing real-time traffic prediction

Integrated design framework for on-demand transit system based on spatiotemporal mobility patterns

Sustainable, Walkable Cities for the Elderly: Identification of the Built Environment for Walkability by Activity Purpose

Estimating urban spatial temperatures considering anthropogenic heat release factors focusing on the mobility characteristics

Transformer-based map-matching model with limited labeled data using transfer-learning approach

A novel method of predictive collision risk area estimation for proactive pedestrian accident prevention system in urban surveillance infrastructure

Analyzing vehicle–pedestrian interactions: Combining data cube structure and predictive collision risk estimation model

Emerging technologies for sustainable transportation system

A Study on Travel Time Estimation of Diverging Traffic Stream on Highways Based on Timestamp Data

Approach Control Concepts and Optimal Vertiport Airspace Design for Urban Air Mobility (UAM) Operation

Development of optimal scheduling strategy and approach control model of multicopter VTOL aircraft for urban air mobility (UAM) operation

SafetyCube: Framework for potential pedestrian risk analysis using multi-dimensional OLAP

Collaborators (6)

Jungho Moon

Seongjin Choi

Jinkyoo Park

Lisa Lim

Jeongyun Kim

Jinwoo Lee

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