Personal profile
Education
(1996) B.S., Seoul National University
(2004) M.S., University of California Berkeley
(2008) Ph.D., University of California Berkeley
(2004) M.S., University of California Berkeley
(2008) Ph.D., University of California Berkeley
Professional Experience
o (2009~Present) Professor, KAIST, Daejeon, Korea
o (2009) Postdoctoral Researcher, PATH, California, United States
o (2009) Postdoctoral Researcher, PATH, California, United States
Research interests
AI mobility, Traffic flow theory, Mobility simulation, Autonomous mobility, Smart cities and urban informatics, Safety and resiliend urban system, Urban big data analysis, Predictive analytics, Smart infrastructure managmeent, Condition based maintenance, Data-driven state prediction
Major Research Achievements
o Short-term travel-time prediction on highway: a review of the data-driven approach
o Understanding stop-and-go traffic in view of asymmetric theory
o TrajGAIL: Generating urban vehicle trajectories using generative adversarial imitation learning
o Oversaturated freeway flow algorithm for use in next generation simulation
o Data-driven imputation method for traffic data in sectional units of road links
o Understanding stop-and-go traffic in view of asymmetric theory
o TrajGAIL: Generating urban vehicle trajectories using generative adversarial imitation learning
o Oversaturated freeway flow algorithm for use in next generation simulation
o Data-driven imputation method for traffic data in sectional units of road links
Fingerprint
Dive into the research topics where Hwasoo Yeo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Accessible bus stops: evaluating bus stop design guidelines for diverse transportation-disadvantaged groups
Jeong, D., Kim, J., Shrestha, S., Yeo, H. & Lim, L., 2026, In: Journal of Urban Design. 31, 2, p. 290-310 21 p.Research output: Contribution to journal › Article › peer-review
-
Early detection of traffic flow breakdown at highway bottleneck using section-based transitional instability
Tak, H. & Yeo, H., Feb 2026, In: Transportation Research Part C: Emerging Technologies. 183, 105483.Research output: Contribution to journal › Article › peer-review
-
Equity Considerations for Emerging Technologies in Transportation: A Comparative Study of Planning Practices in the United States and South Korea
Ho, P., Yu, Y., Jeon, S., Park, L., Yeo, H. & Choi, K., Jan 2026, In: Transportation Research Record. 2680, 1, p. 903-920 18 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Evaluation of Pedestrian Future Conflict at Non-Signalized Intersections Based on Probabilistic Trajectory Prediction
Lin, T., Jin, Z., Yeo, H. & Kim, I., 1 Apr 2026, In: IEEE Transactions on Intelligent Transportation Systems. 27, 4, p. 4300-4314 15 p.Research output: Contribution to journal › Article › peer-review
-
Section-Based Crash Risk Analysis Integrating the Effect of Traffic States and Road Geometry
Kim, J., Kim, Y. & Yeo, H., 1 Jan 2026, In: IET Intelligent Transport Systems. 20, 1, e70134.Research output: Contribution to journal › Article › peer-review
Open Access
Press/Media
-
10 Korean STEM Fellows engage with UAE National Experts on future cooperation
14/05/25
1 item of Media coverage
Press/Media
-
10 Korean STEM Fellows Engage with UAE National Experts on Future Cooperation
14/05/25
2 items of Media coverage
Press/Media
-
10 Korean STEM Fellows Engage with UAE National Experts on Future Cooperation
13/05/25
1 item of Media coverage
Press/Media
-
10 Korean STEM Fellows Engage With UAE National Experts On Future Cooperation
13/05/25
1 item of Media coverage
Press/Media