Hwasoo Yeo

Hwasoo Yeo

KAIST

H-index: 31

Asia-South Korea

About Hwasoo Yeo

Hwasoo Yeo, With an exceptional h-index of 31 and a recent h-index of 27 (since 2020), a distinguished researcher at KAIST, specializes in the field of AI Mobility, Traffic Flow Theory, Transportation Big Data, Traffic Simulation, Infrastructure Engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

Machine Learning Predictive Model: Prioritizing Expenditures in Public Transportation Based on Transportation Emissions

Sustainable, walkable cities for the elderly: Identification of the built environment for walkability by activity purpose

Overcoming Data Sparsity in Traffic Speed Prediction: A Variational Autoencoder Approach on Large-Scale Road Networks

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

A Hybrid Model for Real-Time Traffic Prediction with Augmented Historical Data Using Traffic Simulation

Prioritized Phase Split Optimization for Coordinated Traffic Signal Control in Urban Network Using Deep Reinforcement Learning

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

Hwasoo Yeo Information

University

Position

Dept. of Civil and Enviromental Eng.

Citations(all)

3163

Citations(since 2020)

2259

Cited By

1682

hIndex(all)

31

hIndex(since 2020)

27

i10Index(all)

73

i10Index(since 2020)

64

Email

University Profile Page

KAIST

Google Scholar

View Google Scholar Profile

Hwasoo Yeo Skills & Research Interests

AI Mobility

Traffic Flow Theory

Transportation Big Data

Traffic Simulation

Infrastructure Engineering

Top articles of Hwasoo Yeo

Title

Journal

Author(s)

Publication Date

Machine Learning Predictive Model: Prioritizing Expenditures in Public Transportation Based on Transportation Emissions

Minerva Bonilla

Junseok Kim

Deirdre Edward

Hwasoo Yeo

2024

Sustainable, walkable cities for the elderly: Identification of the built environment for walkability by activity purpose

Sustainable Cities and Society

Yujin Kim

Hawsoo Yeo

Lisa Lim

2023/10/18

Overcoming Data Sparsity in Traffic Speed Prediction: A Variational Autoencoder Approach on Large-Scale Road Networks

한국 ITS 학회 학술대회

Tengfeng Lin

Hwasoo Yeo

Inhi Kim

2024/4

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

Transportation research part C: emerging technologies

Yeeun Kim

Hwasoo Yeo

2024/4/1

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

Transportation Research Part C: Emerging Technologies

Yeeun Kim

Hye-young Tak

Sunghoon Kim

Hwasoo Yeo

2024/3/1

A Hybrid Model for Real-Time Traffic Prediction with Augmented Historical Data Using Traffic Simulation

Hye-young Tak

Yeeun Kim

Sunghoon Kim

Hwasoo Yeo

2023/9/24

Prioritized Phase Split Optimization for Coordinated Traffic Signal Control in Urban Network Using Deep Reinforcement Learning

Hyunsoo Kim

Zhixiong Jin

Hyeyoung Tak

Hwapyeong Yu

Hwasoo Yeo

2023/9/24

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

Transportation Research Part C: Emerging Technologies

Jeongyun Kim

Sehyun Tak

Jinwoo Lee

Hwasoo Yeo

2023/5/1

A Study about Imbalanced of Public Transportation Infra with Pandemic Situations and Demand Reduction-Recovery Pattern: Case of Daejeon, Korea

Journal of Korean Society of Transportation

Joohee Lee

Jihu Kim

Hwasoo Yeo

2023/12/31

Identification and analysis of potential collision risks of vehicle-pedestrian interactions on crosswalk using computer vision technique

Journal of Korean Society of Transportation

Byeongjoon Noh

Haechan Cho

HyeJin Lee

Dongho Ka

Hwasoo Yeo

2023/2/28

NAVIBox: Real-Time Vehicle–Pedestrian Risk Prediction System in an Edge Vision Environment

Electronics

Hyejin Lee

Haechan Cho

Byeongjoon Noh

Hwasoo Yeo

2023/10/18

Urban Traffic Density Estimation from Vehicle-mounted Camera for Real-time Application

Haechan Cho

Yeohwan Yoon

Jihu Kim

Hwasoo Yeo

2023/2/20

Evaluation of Pedestrian\s Potential Risk at Non-Signalized Intersections Based on Predicted Relative Time-To-Collision Using Deep Learning Trajectory Prediction Method

대한교통학회 학술대회지

Tengfeng Lin

Zhixiong Jin

Seongjin Choi

Hwasoo Yeo

2023/10

컴퓨터 비전 기반의 횡단보도 내 차량-보행자 간 잠재적 충돌 위험 인식 방법 및 분석에 관한 연구

대한교통학회지

노병준, 조해찬, 이혜진, 가동호, 여화수

2023/2

Transferable Multi-agent Traffic Signal Control considering Spatial Correlation between State Variables in Reinforcement Learning

Jinwon Yoon

Kyuree Ahn

Kanghoon Lee

Jinkyoo Park

Hwasoo Yeo

2022

Evaluation of Vulnerable Pedestrian Potential Risk at Intersection Based on Arrival Time Prediction using Deep Learning

Tengfeng Lin

Zhixiong Jin

Hwasoo Yeo

2022/6/16

Deep Learning-based Approach on Risk Estimation of Urban Traffic Accidents

Zhixiong Jin

Byeongjoon Noh

Haechan Cho

Hwasoo Yeo

2022/10/8

TMM: Transformer-based Map-matching Model with Transfer Learning Approach

Zhixiong Jin

Seongjin Choi

Hwasoo Yeo

2022

도시환경정보 기반의 데이터 큐브 모델을 이용한 이륜차 사고의 다차원 요인 분석

대한교통학회지

김유진, 노병준, 여화수

2022/6

Asymmetric Long-Term Graph Multi-Attention Network for Traffic Speed Prediction

Jiyoung Hwang

Byeongjoon Noh

Zhixiong Jin

Hwasoo Yeo

2022/10/8

See List of Professors in Hwasoo Yeo University(KAIST)

Co-Authors

H-index: 44
Jason J. Jung

Jason J. Jung

Chung-Ang University

H-index: 27
Kitae Jang

Kitae Jang

KAIST

H-index: 16
Jinwoo Lee

Jinwoo Lee

KAIST

H-index: 13
Simon Oh

Simon Oh

Massachusetts Institute of Technology

H-index: 9
Byeongjoon Noh

Byeongjoon Noh

KAIST

H-index: 8
Seongjin Choi (최성진)

Seongjin Choi (최성진)

KAIST

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